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danielefavi

Code Review MCP Server

by danielefavi

github_read_file

Read file contents from GitHub repositories to analyze code during pull request reviews, enabling developers to examine specific files at any commit, branch, or tag.

Instructions

Read the content of a file at a specific ref

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoIdYesRepository name in format owner/repo
filePathYesPath to the file
refNoCommit SHA, branch, or tag namemain
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states it's a read operation, but doesn't mention authentication requirements, rate limits, error conditions, or what format the content is returned in (raw text, base64, etc.). This leaves significant behavioral gaps for a tool that interacts with external APIs.

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, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a straightforward read operation and front-loads the essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that reads files from GitHub with no annotations and no output schema, the description is insufficient. It doesn't explain what happens with binary files, encoding issues, file size limits, or the response format. Given the complexity of file reading operations and lack of structured metadata, more context is needed.

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?

Schema description coverage is 100%, so the schema already documents all three parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema - it mentions 'specific ref' which aligns with the 'ref' parameter but provides no extra context. This meets the baseline for high schema coverage.

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 clearly states the action ('Read the content') and resource ('a file at a specific ref'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'gitlab_read_file' or other GitHub read operations, which prevents a perfect score.

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. There are multiple sibling tools for reading GitHub and GitLab data, but no indication of when this specific file-reading tool is appropriate versus others like 'github_get_pr_details' or 'gitlab_read_file'.

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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