Skip to main content
Glama

git_clone

Clone Git repositories into specified directories using the AI FileSystem MCP server. Supports branch selection, shallow clones, and bare repository creation for efficient version control operations.

Instructions

Clone a repository into a new directory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesRepository URL
directoryNoDestination directory (optional)
branchNoBranch to clone (optional)
depthNoCreate a shallow clone with history truncated to specified number of commits
bareNoCreate a bare repository
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the action ('clone') but lacks behavioral details: it doesn't mention that this creates local files, requires authentication for private repos, may have network/timeout issues, or what happens on failure. For a tool with significant side effects, this is a notable gap in disclosure.

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 front-loads the core purpose without unnecessary words. Every part earns its place by directly stating the tool's function, making it easy to parse quickly.

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?

Given the complexity (a git operation with 5 parameters, no annotations, and no output schema), the description is incomplete. It doesn't cover behavioral aspects like side effects, error handling, or output format, which are crucial for an agent to use this tool effectively in real-world scenarios.

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 fully documents all parameters. The description adds no parameter-specific information beyond implying a 'directory' is created. Baseline 3 is appropriate as the schema handles the heavy lifting, though the description doesn't compensate with extra context like default behaviors or common use patterns.

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 ('clone') and resource ('repository'), specifying it creates a new directory. It's specific enough to understand the core function, though it doesn't explicitly differentiate from sibling tools like git_init or git_pull, which serve different purposes in the git workflow.

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. It doesn't mention prerequisites (e.g., needing git installed, network access), typical use cases (e.g., initial setup, copying repos), or when to choose other git tools like git_pull for updates. This leaves the agent with minimal context for decision-making.

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/proofmath-owner/ai-filesystem-mcp'

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