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hermes-agent/website/docs/reference/tools-reference.md
Teknium 8b861b77c1 refactor: remove browser_close tool — auto-cleanup handles it (#5792)
* refactor: remove browser_close tool — auto-cleanup handles it

The browser_close tool was called in only 9% of browser sessions (13/144
navigations across 66 sessions), always redundantly — cleanup_browser()
already runs via _cleanup_task_resources() at conversation end, and the
background inactivity reaper catches anything else.

Removing it saves one tool schema slot in every browser-enabled API call.

Also fixes a latent bug: cleanup_browser() now handles Camofox sessions
too (previously only Browserbase). Camofox sessions were never auto-cleaned
per-task because they live in a separate dict from _active_sessions.

Files changed (13):
- tools/browser_tool.py: remove function, schema, registry entry; add
  camofox cleanup to cleanup_browser()
- toolsets.py, model_tools.py, prompt_builder.py, display.py,
  acp_adapter/tools.py: remove browser_close from all tool lists
- tests/: remove browser_close test, update toolset assertion
- docs/skills: remove all browser_close references

* fix: repeat browser_scroll 5x per call for meaningful page movement

Most backends scroll ~100px per call — barely visible on a typical
viewport. Repeating 5x gives ~500px (~half a viewport), making each
scroll tool call actually useful.

Backend-agnostic approach: works across all 7+ browser backends without
needing to configure each one's scroll amount individually. Breaks
early on error for the agent-browser path.

* feat: auto-return compact snapshot from browser_navigate

Every browser session starts with navigate → snapshot. Now navigate
returns the compact accessibility tree snapshot inline, saving one
tool call per browser task.

The snapshot captures the full page DOM (not viewport-limited), so
scroll position doesn't affect it. browser_snapshot remains available
for refreshing after interactions or getting full=true content.

Both Browserbase and Camofox paths auto-snapshot. If the snapshot
fails for any reason, navigation still succeeds — the snapshot is
a bonus, not a requirement.

Schema descriptions updated to guide models: navigate mentions it
returns a snapshot, snapshot mentions it's for refresh/full content.

* refactor: slim cronjob tool schema — consolidate model/provider, drop unused params

Session data (151 calls across 67 sessions) showed several schema
properties were never used by models. Consolidated and cleaned up:

Removed from schema (still work via backend/CLI):
- skill (singular): use skills array instead
- reason: pause-only, unnecessary
- include_disabled: now defaults to true
- base_url: extreme edge case, zero usage
- provider (standalone): merged into model object

Consolidated:
- model + provider → single 'model' object with {model, provider} fields.
  If provider is omitted, the current main provider is pinned at creation
  time so the job stays stable even if the user changes their default.

Kept:
- script: useful data collection feature
- skills array: standard interface for skill loading

Schema shrinks from 14 to 10 properties. All backend functionality
preserved — the Python function signature and handler lambda still
accept every parameter.

* fix: remove mixture_of_agents from core toolsets — opt-in only via hermes tools

MoA was in _HERMES_CORE_TOOLS and composite toolsets (hermes-cli,
hermes-messaging, safe), which meant it appeared in every session
for anyone with OPENROUTER_API_KEY set. The _DEFAULT_OFF_TOOLSETS
gate only works after running 'hermes tools' explicitly.

Now MoA only appears when a user explicitly enables it via
'hermes tools'. The moa toolset definition and check_fn remain
unchanged — it just needs to be opted into.
2026-04-07 03:28:44 -07:00

14 KiB

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3 Built-in Tools Reference Authoritative reference for Hermes built-in tools, grouped by toolset

Built-in Tools Reference

This page documents all 47 built-in tools in the Hermes tool registry, grouped by toolset. Availability varies by platform, credentials, and enabled toolsets.

Quick counts: 11 browser tools, 4 file tools, 10 RL tools, 4 Home Assistant tools, 2 terminal tools, 2 web tools, and 14 standalone tools across other toolsets.

:::tip MCP Tools In addition to built-in tools, Hermes can load tools dynamically from MCP servers. MCP tools appear with a server-name prefix (e.g., github_create_issue for the github MCP server). See MCP Integration for configuration. :::

browser toolset

Tool Description Requires environment
browser_back Navigate back to the previous page in browser history. Requires browser_navigate to be called first.
browser_click Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.
browser_console Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requi…
browser_get_images Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.
browser_navigate Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For simple information retrieval, prefer web_search or web_extract (faster, cheaper). Use browser tools when you need…
browser_press Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.
browser_scroll Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.
browser_snapshot Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: comp…
browser_type Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.
browser_vision Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snaps…

clarify toolset

Tool Description Requires environment
clarify Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes: 1. Multiple choice — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option. 2.…

code_execution toolset

Tool Description Requires environment
execute_code Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (…

cronjob toolset

Tool Description Requires environment
cronjob Unified scheduled-task manager. Use action="create", "list", "update", "pause", "resume", "run", or "remove" to manage jobs. Supports skill-backed jobs with one or more attached skills, and skills=[] on update clears attached skills. Cron runs happen in fresh sessions with no current-chat context.

delegation toolset

Tool Description Requires environment
delegate_task Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window. TWO…

file toolset

Tool Description Requires environment
patch Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing…
read_file Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. NOTE: Cannot read images o…
search_files Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents. Content search (target='content'): Regex search inside files. Output modes: full matches with line…
write_file Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits.

homeassistant toolset

Tool Description Requires environment
ha_call_service Call a Home Assistant service to control a device. Use ha_list_services to discover available services and their parameters for each domain.
ha_get_state Get the detailed state of a single Home Assistant entity, including all attributes (brightness, color, temperature setpoint, sensor readings, etc.).
ha_list_entities List Home Assistant entities. Optionally filter by domain (light, switch, climate, sensor, binary_sensor, cover, fan, etc.) or by area name (living room, kitchen, bedroom, etc.).
ha_list_services List available Home Assistant services (actions) for device control. Shows what actions can be performed on each device type and what parameters they accept. Use this to discover how to control devices found via ha_list_entities.

:::note Honcho tools (honcho_conclude, honcho_context, honcho_profile, honcho_search) are no longer built-in. They are available via the Honcho memory provider plugin at plugins/memory/honcho/. See Plugins for installation and usage. :::

image_gen toolset

Tool Description Requires environment
image_generate Generate high-quality images from text prompts using FLUX 2 Pro model with automatic 2x upscaling. Creates detailed, artistic images that are automatically upscaled for hi-rez results. Returns a single upscaled image URL. Display it using… FAL_KEY

memory toolset

Tool Description Requires environment
memory Save important information to persistent memory that survives across sessions. Your memory appears in your system prompt at session start -- it's how you remember things about the user and your environment between conversations. WHEN TO SA…

messaging toolset

Tool Description Requires environment
send_message Send a message to a connected messaging platform, or list available targets. IMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available tar…

moa toolset

Tool Description Requires environment
mixture_of_agents Route a hard problem through multiple frontier LLMs collaboratively. Makes 5 API calls (4 reference models + 1 aggregator) with maximum reasoning effort — use sparingly for genuinely difficult problems. Best for: complex math, advanced alg… OPENROUTER_API_KEY

rl toolset

Tool Description Requires environment
rl_check_status Get status and metrics for a training run. RATE LIMITED: enforces 30-minute minimum between checks for the same run. Returns WandB metrics: step, state, reward_mean, loss, percent_correct. TINKER_API_KEY, WANDB_API_KEY
rl_edit_config Update a configuration field. Use rl_get_current_config() first to see all available fields for the selected environment. Each environment has different configurable options. Infrastructure settings (tokenizer, URLs, lora_rank, learning_ra… TINKER_API_KEY, WANDB_API_KEY
rl_get_current_config Get the current environment configuration. Returns only fields that can be modified: group_size, max_token_length, total_steps, steps_per_eval, use_wandb, wandb_name, max_num_workers. TINKER_API_KEY, WANDB_API_KEY
rl_get_results Get final results and metrics for a completed training run. Returns final metrics and path to trained weights. TINKER_API_KEY, WANDB_API_KEY
rl_list_environments List all available RL environments. Returns environment names, paths, and descriptions. TIP: Read the file_path with file tools to understand how each environment works (verifiers, data loading, rewards). TINKER_API_KEY, WANDB_API_KEY
rl_list_runs List all training runs (active and completed) with their status. TINKER_API_KEY, WANDB_API_KEY
rl_select_environment Select an RL environment for training. Loads the environment's default configuration. After selecting, use rl_get_current_config() to see settings and rl_edit_config() to modify them. TINKER_API_KEY, WANDB_API_KEY
rl_start_training Start a new RL training run with the current environment and config. Most training parameters (lora_rank, learning_rate, etc.) are fixed. Use rl_edit_config() to set group_size, batch_size, wandb_project before starting. WARNING: Training… TINKER_API_KEY, WANDB_API_KEY
rl_stop_training Stop a running training job. Use if metrics look bad, training is stagnant, or you want to try different settings. TINKER_API_KEY, WANDB_API_KEY
rl_test_inference Quick inference test for any environment. Runs a few steps of inference + scoring using OpenRouter. Default: 3 steps x 16 completions = 48 rollouts per model, testing 3 models = 144 total. Tests environment loading, prompt construction, in… TINKER_API_KEY, WANDB_API_KEY

session_search toolset

Tool Description Requires environment
session_search Search your long-term memory of past conversations. This is your recall -- every past session is searchable, and this tool summarizes what happened. USE THIS PROACTIVELY when: - The user says 'we did this before', 'remember when', 'last ti…

skills toolset

Tool Description Requires environment
skill_manage Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live. Actions: create (full SKILL.m…
skill_view Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a…
skills_list List available skills (name + description). Use skill_view(name) to load full content.

terminal toolset

Tool Description Requires environment
process Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (sen…
terminal Execute shell commands on a Linux environment. Filesystem persists between calls. Do NOT use cat/head/tail to read files — use read_file instead. Do NOT use grep/rg/find to search — use search_files instead. Do NOT use ls to list directori…

todo toolset

Tool Description Requires environment
todo Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list. Writing: - Provide 'todos' array to create/update items - merge=…

vision toolset

Tool Description Requires environment
vision_analyze Analyze images using AI vision. Provides a comprehensive description and answers a specific question about the image content.

web toolset

Tool Description Requires environment
web_search Search the web for information on any topic. Returns up to 5 relevant results with titles, URLs, and descriptions. EXA_API_KEY or PARALLEL_API_KEY or FIRECRAWL_API_KEY or TAVILY_API_KEY
web_extract Extract content from web page URLs. Returns page content in markdown format. Also works with PDF URLs — pass the PDF link directly and it converts to markdown text. Pages under 5000 chars return full markdown; larger pages are LLM-summarized. EXA_API_KEY or PARALLEL_API_KEY or FIRECRAWL_API_KEY or TAVILY_API_KEY

tts toolset

Tool Description Requires environment
text_to_speech Convert text to speech audio. Returns a MEDIA: path that the platform delivers as a voice message. On Telegram it plays as a voice bubble, on Discord/WhatsApp as an audio attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider…