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bdbrown4

GitHub Portfolio MCP Server

by bdbrown4

Get Repository Languages

get_languages

Retrieves programming languages and their byte counts for a specified GitHub repository.

Instructions

Get programming languages used in a repository with byte counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_nameYes
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It implies a safe read operation ('Get') and mentions byte counts in the output, which is useful. However, it does not discuss auth requirements, rate limits, or possible errors, leaving some transparency gaps.

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 a single, compact sentence that is front-loaded with the core action and resource. There is no fluff or redundancy; every word earns its place.

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?

The tool is simple with one parameter and no output schema, and the description does state the key output (languages and byte counts). However, it fails to differentiate from the closely related get_tech_stack_summary and provides no hints about response structure beyond byte counts, leaving some contextual gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It only says 'repository' for repo_name, which barely adds meaning beyond the parameter name. It does not clarify the expected format (e.g., 'owner/repo') or any constraints, providing minimal additional value.

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 ('Get') and resource ('programming languages used in a repository') with an added detail ('with byte counts'). It is clear and distinguishes from sibling tools like list_repos and get_profile, though no explicit contrast with get_tech_stack_summary is provided.

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 is given on when to use this tool versus alternatives, nor any prerequisites. The description merely states what it does, leaving the agent to infer usage context from the tool name and sibling list.

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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