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ayhammouda

python-docs-mcp-server

detect_python_version

Read-onlyIdempotent

Identifies the Python version in your environment and verifies if it matches the 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 read-only, idempotent, and non-destructive. The description adds value by detailing what the tool returns (detected version, method of detection, and match status), providing context 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?

Three sentences, front-loaded with the main purpose. Every sentence adds information without redundancy. Extremely efficient.

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?

With an output schema present, the description correctly avoids repeating return details. It covers the tool's core function and expected outputs, providing sufficient completeness for a simple detection tool.

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?

No parameters exist (0 params, 100% schema coverage baseline). The description does not need to add parameter details, so a baseline of 4 is appropriate.

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 it detects the Python version in the user's environment, which is a specific verb-resource pair. It distinguishes itself from sibling tools like list_versions or compare_versions by focusing on the local environment.

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

Usage Guidelines3/5

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

No explicit guidance on when to use versus alternatives. While the purpose is clear, an agent could benefit from knowing this is for detecting the current environment's version, not for comparing or listing all versions.

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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