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petridisa

pyenv-manager-mcp

by petridisa

install_version

Install a specific Python version using pyenv to set up the exact runtime your project requires.

Instructions

Install a specific Python version using pyenv.

Args:
    version: The exact version string to install (e.g., '3.12.2').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states that the tool installs a version, which implies a state-changing side effect, but does not mention prerequisites, network dependency, potential failures for unavailable versions, or what the tool returns on success or failure.

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 short and front-loaded: one clear verb-focused sentence followed by a concise parameter explanation. It contains no filler and gives the agent exactly the key information needed for the single parameter.

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?

For a simple one-parameter tool with an output schema, the description covers the basic invocation adequately. However, it lacks usage context relative to siblings and does not explain behavioral prerequisites or failure modes, making it only minimally viable for an agent deciding among the listed tools.

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?

The schema coverage is 0%, but the description compensates by defining the version parameter as 'the exact version string' and providing a concrete example ('3.12.2'). This adds meaningful semantic detail beyond the bare schema type of 'string', even though it leaves some edge cases unaddressed.

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 uses a specific verb ('Install') with a clear resource ('a specific Python version using pyenv'), so an agent can understand the core action. It does not explicitly contrast with siblings, but the action is unique among the sibling list (list, get, set), so confusion is unlikely.

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?

The intended use is implied by the name and description: install a specific Python version into pyenv. However, there is no explicit guidance about when to prefer this over siblings, such as checking list_available_downloads before installing or using set_global_version/set_local_version after installation.

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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