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mcp_analyzer

Idempotent

Analyzes your project structure and generates a tailored CLAUDE.md with the most useful tools for your workflow. Use mode=analyze to see recommendations, mode=write to generate CLAUDE.md, mode=reload to re-scan and update. Turns the NS from generic tools into a trained assistant that knows your project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoanalyze=show recommendations, write=generate CLAUDE.md, reload=re-scan and update CLAUDE.md
output_pathNoWhere to write CLAUDE.md. Defaults to project root.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations indicate idempotentHint=true and destructiveHint=false. The description adds that the tool can write files (mode=write, reload), which is consistent with readOnlyHint=false. It does not mention side effects beyond file writing, but the modes provide behavioral context.

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, no wasted words. First sentence states purpose, second explains modes. Every sentence adds value.

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

Completeness4/5

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

No output schema, but the description explains the tool's operation and outcomes (recommendations, file generation) sufficiently. It doesn't detail return values, but for a file-writing tool, that is acceptable.

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 coverage is 100%, so baseline is 3. The description adds meaning by explaining the purpose of each mode in a sentence: 'Use mode=analyze to see recommendations, mode=write to generate CLAUDE.md, mode=reload to re-scan and update.' This goes beyond the enum labels and provides usage context.

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?

The description clearly states the tool's purpose: analyzes project structure and generates a tailored CLAUDE.md. It uses specific verb-resource combinations and distinguishes modes (analyze, write, reload). It is distinct from sibling tools which focus on checks and audits.

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?

The description explicitly explains when to use each mode ('Use mode=analyze to see recommendations, mode=write to generate CLAUDE.md, mode=reload to re-scan and update'). It provides clear context but does not mention exclusions or alternatives.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but there is some overlap among multiple audit/check tools (e.g., accountability_check, drift_audit, security_audit). However, descriptions and naming help differentiate their specific scopes, so ambiguity is low.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., check_archive_safety, propagate_family_member), making them predictable and easy to understand.

Tool Count4/5

33 tools is on the high side, but the server covers a broad domain (system health, audits, propagation, session management, etc.). The count is justified by the comprehensive scope, though it may feel heavy for agents.

Completeness5/5

The tool set covers the entire lifecycle of system management: health monitoring, audits, propagation, sessions, compliance, and more. No obvious gaps for the stated purpose of a nervous system framework.

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