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crunchtools

MCP GitHub CrunchTools

by crunchtools

Get File Content Tool

get_file_content_tool

Retrieve the decoded text content of a file from a GitHub repository by specifying the repository and file path. Use an optional branch, tag, or commit to read files from any ref.

Instructions

Get the decoded text content of a file in a GitHub repository.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoBranch, tag, or commit SHA (default: the default branch)
pathYesPath to the file within the repository
repoYesRepository name
ownerNoRepository owner (defaults to GITHUB_DEFAULT_ORG if unset)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, and it discloses only one trait implicitly: that content is decoded (i.e. base64 handling is done for you, so binary files are likely unsupported). It says nothing about authentication requirements, truncation of large files, or what happens on a missing path.

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?

A single front-loaded sentence with zero filler; the action and target are stated immediately with nothing redundant.

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?

An output schema exists, so return-value explanation is unnecessary, and the operation is a simple read. Still, with no annotations and no usage context, the definition leaves gaps around large/binary files and when to prefer sibling search tools.

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% and all four parameters, including defaults for 'ref' and 'owner', are documented in the schema itself. The description adds no syntax, format, or constraint detail beyond that, so the baseline of 3 applies.

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 states a specific verb and resource ('Get the decoded text content of a file'), which is clear and unambiguous. It does not, however, differentiate itself from adjacent read tools such as search_code_tool or list_repo_tree_tool, so an agent must infer the distinction itself.

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?

There is no when-to-use guidance, no statement of prerequisites, and no reference to alternative tools like search_code_tool when the file path is unknown. The agent gets a purpose but no routing logic.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.