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ayhammouda

python-docs-mcp-server

detect_python_version

Read-onlyIdempotent

Detects the Python version in your environment and checks if it matches an indexed documentation set.

Instructions

Detect the Python version in the user's environment. Returns the detected version, how it was found, and whether it matches an indexed documentation set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
detected_versionYesPython major.minor detected from the user's environment (e.g. '3.13')
sourceYesHow the version was detected: '.python-version file', 'python3 in PATH', or 'server runtime'
matched_index_versionNoThe detected version if it matches an indexed doc set, otherwise null
is_defaultYesWhether this detected version is being used as the default for get_docs
Behavior4/5

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

Annotations already indicate readOnlyHint true, destructiveHint false, and idempotentHint true. The description adds value by specifying the return fields (version, detection method, match status) and implying no side effects, but could further clarify environment interaction (e.g., running commands).

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?

The description is extremely concise with two sentences. It front-loads the purpose immediately and avoids unnecessary words. Every sentence contributes meaning.

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 the tool's simplicity (no parameters, output schema exists), the description fully covers what it does and what it returns. It mentions the key output aspects, making it complete for the agent to understand the tool's function.

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?

The input schema has no properties (100% schema coverage). The description does not add parameter information beyond the schema, which is a baseline score. However, since there are no parameters, this is adequate.

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: 'Detect the Python version in the user's environment.' It uses a specific verb ('Detect') and resource ('Python version'), distinguishing it from sibling tools like list_versions which likely list documentation versions.

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?

The description provides no guidance on when to use this tool versus alternatives like get_docs or list_versions. It does not specify prerequisites or context, leaving the agent to infer usage.

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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