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Anselmoo

mcp-server-analyzer

by Anselmoo

ty-check

Read-onlyIdempotent

Check Python code for type errors using the ty type checker. Supports project configuration for accurate analysis.

Instructions

Type-check Python code using ty.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesPython code to analyze
project_pathNoOptional project directory used for ty config and import resolution

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
diagnosticsYesList of type diagnostics found
total_diagnosticsYesTotal number of diagnostics
error_countYesNumber of error diagnostics
warning_countYesNumber of warning diagnostics
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint. Description adds no further behavioral traits such as side effects or dependencies. No contradiction.

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 sentence is concise and front-loaded. Could include more context without being verbose, but not overly minimal.

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?

With 100% schema coverage and an output schema, the description is minimally adequate. Lacks usage context but covers basic purpose.

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?

Input schema has 100% description coverage for both parameters. The description adds no additional meaning beyond what is already in the 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?

Description clearly states the tool type-checks Python code using 'ty'. It is specific and distinguishes from siblings which perform linting, formatting, or scanning rather than type-checking.

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 vs sibling tools like ruff-check or analyze-code. The description lacks context for proper selection among 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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