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Anselmoo

mcp-server-analyzer

by Anselmoo

ruff-check

Read-onlyIdempotent

Analyze Python code with RUFF to detect style violations and potential errors.

Instructions

Lint Python code using RUFF to identify style violations and potential errors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesPython code to analyze
config_pathNoOptional path to RUFF configuration file

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
issuesYesList of linting issues found
total_issuesYesTotal number of issues
fixable_issuesYesNumber of auto-fixable issues
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds 'identify style violations and potential errors', which confirms read-only behavior but does not provide additional behavioral traits 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?

Single sentence, 10 words, front-loaded with key action. No redundant or extraneous content.

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?

Given low complexity and presence of output schema (though not shown), the description sufficiently covers purpose. However, it lacks mention of output format or error handling, which could be inferred from output schema.

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

Parameters3/5

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

Schema description coverage is 100%, so the input schema already describes both parameters (code, config_path). The description adds no extra parameter details beyond what the schema provides.

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 verb 'lint', resource 'Python code', and tool 'RUFF' to identify style violations and errors. This distinguishes it from siblings like ruff-format (formatting) and vulture-scan (dead code).

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 context provides sibling tool names (analyze-code, ruff-check-ci, ruff-format, ty-check, vulture-scan), and the description implies linting use, but no explicit when-to-use or when-not-to-use guidance is given.

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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