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check_claudemd_drift

Read-onlyIdempotent

Detect drift between AI agent config files and the live tool surface: dead paths, non-existent MCP tools, missing skills/commands, and oversized sections. Returns JSON with issues and fix suggestions.

Instructions

Detect drift between AI agent config files (CLAUDE.md, AGENTS.md, .cursorrules) and the live tool/skill/command surface: dead path references, references to non-existent MCP tools, references to missing skills/commands, oversized sections. Convenience alias for audit_config { drift_only: true }. Read-only. Returns JSON: { issues: [{ file, line, category, issue, severity, fix? }], files_scanned, total_tokens, summary }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
config_filesNoSpecific config files to scan (default: auto-detect CLAUDE.md / AGENTS.md / .cursorrules / .windsurfrules etc.)
fix_suggestionsNoInclude fix suggestions (default true)
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, non-destructive, idempotent. Description adds that it returns JSON with specific fields (issues, files_scanned, total_tokens, summary) and clarifies read-only nature beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with purpose. No redundant or irrelevant information. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, description adequately explains return format and fields. Covers purpose, parameters, and output. No missing essential information for a tool with only two optional params.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers both parameters with descriptions. Description adds default behavior (auto-detect files) and default value for fix_suggestions (true), adding value beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the verb 'Detect drift' and specific resources (config files vs live surface). Specifies what kinds of issues it finds. Distinguishes from sibling by calling itself a convenience alias for audit_config.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly notes it's a convenience alias for audit_config with drift_only:true, implying when to use it for drift detection vs full audit. However, lacks explicit when-not-to-use or alternative conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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