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gitingest

Access Git repository data by automatically ingesting content from specified repositories to retrieve summaries, file structures, or full content for analysis.

Instructions

Access Git repository data with automatic ingestion as needed

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_uriYesURL or local path to the Git repository
resource_typeNoType of data to retrieve (default: summary)
max_file_sizeNoMaximum file size in bytes (default: 10MB)
include_patternsNoComma-separated fnmatch-style glob patterns (e.g., 'src/module/*.py', 'docs/file.md').
exclude_patternsNoComma-separated fnmatch-style glob patterns (e.g., 'tests/*', '*.tmp').
branchNoSpecific branch to analyze
outputNoFile path to save the output to
max_tokensNoMaximum number of tokens to return (1 token = 4 characters). If set, response will be truncated.
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 mentions 'automatic ingestion as needed' which hints at some background processing behavior, but doesn't explain what 'ingestion' entails (e.g., cloning, indexing, caching), performance characteristics, error handling, or what happens when repository data is already available. For a tool with 8 parameters and no annotation coverage, this leaves significant behavioral 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, efficient sentence that communicates the core functionality without waste. It's appropriately sized for the tool's complexity and gets straight to the point without unnecessary elaboration.

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?

For a tool with 8 parameters, no annotations, and no output schema, the description is minimal. While the schema covers parameters well, the description doesn't address behavioral aspects, return values, or usage context that would help an agent understand when and how to invoke this tool effectively. It's adequate but leaves clear gaps in understanding the tool's full behavior.

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 8 parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. According to the rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 tool's purpose: 'Access Git repository data with automatic ingestion as needed'. It specifies the verb ('access') and resource ('Git repository data'), and mentions the automatic ingestion feature. However, without sibling tools, it cannot demonstrate differentiation from alternatives, so it doesn't reach the highest 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, prerequisites, or constraints. It mentions 'automatic ingestion as needed' but doesn't explain what triggers ingestion or when manual intervention might be required. There are no explicit when/when-not instructions or named alternatives.

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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