Agent skill
documenting-tools
Use when writing MCP tools, API endpoints, CLI commands, or any function that an LLM will invoke. Also use when LLMs misuse tools due to poor descriptions. Triggers: 'document this tool', 'write tool docs', 'MCP tool', 'tool description quality', 'model keeps calling this wrong', 'improve tool description'. For human-facing API docs, standard documentation practices apply instead.
Install this agent skill to your Project
npx add-skill https://github.com/axiomantic/spellbook/tree/main/skills/documenting-tools
SKILL.md
Documenting Tools
Invariant Principles
- Ambiguity causes errors: If a parameter could mean two things, the model will guess wrong
- Edge cases must be documented: Undocumented error states cause unrecoverable failures
- Examples prevent misuse: One good example is worth ten paragraphs of description
Reasoning Schema
Inputs
| Input | Required | Description |
|---|---|---|
tool_type |
Yes | MCP tool, REST API, CLI command, function |
tool_code |
Yes | Implementation or signature to document |
existing_docs |
No | Current documentation to improve |
Outputs
| Output | Type | Description |
|---|---|---|
tool_documentation |
Inline/JSON | Complete tool documentation |
quality_assessment |
Inline | Checklist verification |
Documentation Checklist
For every tool, document ALL of these:
| Element | Required | Description |
|---|---|---|
| Purpose | Yes | What the tool does in one sentence |
| When to use | Yes | Conditions that make this tool appropriate |
| When NOT to use | Recommended | Common misuse cases, similar tools to use instead |
| Parameters | Yes | Each parameter with type, constraints, examples |
| Return value | Yes | What the tool returns on success |
| Error cases | Yes | What errors can occur and what they mean |
| Side effects | If any | What state changes the tool causes |
| Examples | Recommended | 1-2 usage examples |
Parameter Documentation Format
name (type, required/optional): Description.
- Constraints: [valid ranges, formats, patterns]
- Default: [if optional]
- Example: [concrete value]
Good:
path (string, required): Path to the file to read.
- Can be absolute (/Users/...) or relative to cwd (./src/...)
- Must not contain null bytes
- Example: "/Users/alice/project/README.md"
Bad:
path: The file path
Error Documentation
| Error Case | Document |
|---|---|
| Empty/null input | What happens if required field is empty? |
| Invalid type | What if wrong type passed? |
| Out of bounds | What if index exceeds array length? |
| Missing resource | What if file/URL/ID doesn't exist? |
| Permission denied | What if access is restricted? |
| Timeout | What if operation takes too long? |
| Rate limit | What if quota exceeded? |
errors: [
"ERROR_CODE: Human-readable explanation of when this occurs"
]
MCP Tool Schema
{
"name": "tool_name",
"description": "What the tool does. When to use it. When NOT to use it (use X instead).",
"inputSchema": {
"type": "object",
"properties": {
"param_name": {
"type": "string",
"description": "What this parameter controls. Constraints. Example value."
}
},
"required": ["param_name"]
}
}
Anti-Patterns
Good vs Bad Examples
File Reading Tool
Bad:
{
"name": "read_file",
"description": "Reads a file"
}
Good:
{
"name": "read_file",
"description": "Reads file contents as UTF-8 string. Use for text files. Fails on binary files (use read_file_binary). Fails if file doesn't exist.",
"inputSchema": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "File path. Absolute (/Users/...) or relative to cwd (./src/...). Example: '/Users/alice/README.md'"
}
},
"required": ["path"]
},
"errors": [
"FILE_NOT_FOUND: Path does not exist",
"PERMISSION_DENIED: Cannot read file",
"BINARY_FILE: File is binary, use read_file_binary"
]
}
API Request Tool
Bad:
{
"name": "api_request",
"description": "Makes an API request"
}
Good:
{
"name": "api_request",
"description": "HTTP request to external API. Use for REST APIs. NOT for internal services (use internal_rpc). Auto-retries 5xx errors 3x.",
"inputSchema": {
"type": "object",
"properties": {
"method": {
"type": "string",
"enum": ["GET", "POST", "PUT", "DELETE", "PATCH"],
"description": "HTTP method"
},
"url": {
"type": "string",
"description": "Full URL with protocol. Must be HTTPS for external APIs. Example: 'https://api.github.com/repos/owner/repo'"
},
"body": {
"type": "object",
"description": "Request body for POST/PUT/PATCH. Auto-serialized to JSON."
},
"timeout_ms": {
"type": "number",
"description": "Timeout in milliseconds. Default: 30000"
}
},
"required": ["method", "url"]
},
"errors": [
"TIMEOUT: Exceeded timeout_ms",
"NETWORK_ERROR: Could not connect",
"INVALID_URL: Malformed URL or disallowed protocol",
"AUTH_REQUIRED: 401 returned, check credentials"
],
"sideEffects": "POST/PUT/DELETE/PATCH may modify remote state"
}
Self-Check
- Purpose is one clear sentence (not "does stuff")
- "When to use" conditions specified
- "When NOT to use" specified for commonly confused tools
- ALL parameters have type, description, constraints
- At least one example value per parameter
- ALL error cases documented with codes and explanations
- Side effects stated if any
- At least one usage example
- Terminology is consistent throughout
<FINAL_EMPHASIS> Tool documentation is the interface contract between you and every LLM that will use your tool. Ambiguity in that contract means the LLM will guess. Guessing means errors. Clear documentation means correct tool usage on the first try. Write for the model that has never seen your codebase. </FINAL_EMPHASIS>
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