Skip to main content
Glama

faf_git

Extract AI-ready context from any GitHub repository by generating a project.faf file with one click.

Instructions

Generate project.faf from any GitHub repo URL - 1-click context extraction!

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesGitHub repository URL (e.g., https://github.com/owner/repo or owner/repo)
pathNoOutput directory for generated project.faf. If omitted, returns content without writing.
Behavior3/5

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

Annotations already indicate readOnlyHint=false, so the tool may modify state. The description adds that it can either write to a directory or return content, but does not elaborate on side effects, idempotency, or return format. This is adequate given the 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?

The description is a single sentence that is front-loaded with the action and includes no unnecessary words. It efficiently conveys the tool's purpose.

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

Completeness4/5

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

For a simple tool with two parameters and no output schema, the description covers the core functionality and the optional path behavior. However, it lacks explanation of what project.faf is and the return content format, and does not differentiate from the many sibling 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?

Input schema has 100% coverage with descriptions for both parameters. The tool description adds minimal meaning beyond rephrasing the url parameter. Baseline 3 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 the tool generates a project.faf file from a GitHub repo URL, using specific verbs and resource, and distinguishes from sibling tools like faf_auto or faf_sync.

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 does not provide any guidance on when to use this tool versus alternatives, such as when to extract from GitHub vs other operations. No exclusion criteria or context is given.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Wolfe-Jam/claude-faf-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server