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Anselmoo

mcp-server-analyzer

by Anselmoo

ruff-format

Read-onlyIdempotent

Format Python code using RUFF's fast formatter to ensure consistent syntax and style.

Instructions

Format Python code using RUFF's fast formatter.

Input Schema

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

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatted_codeYesThe formatted Python code
changedYesWhether the code was modified during formatting
Behavior3/5

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

Annotations already indicate readOnlyHint and idempotentHint, so the description adds minimal behavioral context. It doesn't mention return format or side effects, but annotations cover safety.

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

Conciseness4/5

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

Single short sentence, zero waste. Could include output information but remains efficient for a simple tool.

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

Completeness3/5

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

Adequately covers purpose and parameters, but fails to mention output (formatted code) despite an output schema existing. Sibling differentiation is missing.

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 coverage is 100% with clear descriptions for both parameters. The description only adds 'RUFF's fast formatter' as context, not enhancing parameter understanding beyond schema.

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

Purpose4/5

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

The description clearly states the tool formats Python code with RUFF, using a specific verb and resource. It's distinct from siblings like 'ruff-check' but doesn't explicitly differentiate, leaving slight ambiguity.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like 'ruff-check' or 'analyze-code'. Does not mention scenarios, prerequisites, or post-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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