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Lipdog
by Lipdog

repo_tree

Read-onlyIdempotent

Explore the file tree of a GitHub repository with recursive listing, depth control, glob filtering, and automatic exclusion of noise directories. Understand project layout before reading files.

Instructions

View the file tree of a GitHub repository or subdirectory. Recursive listing with depth control (1-3 levels), glob pattern filtering (e.g. *.py), and optional file sizes. Automatically filters noise directories (node_modules, pycache, .venv, dist, etc.). Use to understand project layout and discover key files before reading them with get_file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesRepository in 'owner/name' format (e.g. 'modelcontextprotocol/python-sdk').
pathNoSubdirectory to start from. Empty = root.
refNoBranch, tag, or commit SHA. Defaults to the default branch.
depthNoHow many levels deep to show (1-3).
patternNoGlob filter for filenames (e.g. *.py). Dirs always shown.
show_sizesNoInclude file sizes in the output.
Behavior5/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, openWorldHint. Description adds depth control, glob filtering, size option, and noise directory filtering, which are behavioral traits beyond 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?

Two sentences, front-loaded with the main purpose, no filler. Every sentence adds value.

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?

No output schema, but description implies the return type (file tree). Purpose and features are well covered. Could mention output format briefly, but not necessary given tool simplicity.

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 coverage is 100%, so baseline is 3. Description mentions depth, pattern, and show_sizes but not repo or ref. It adds context about noise filtering, which is behavioral, not parameter-specific. Adequate but not exceptional.

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?

Description clearly states 'View the file tree of a GitHub repository or subdirectory' with specific features (recursive, depth control, glob filtering, file sizes). It also distinguishes itself by suggesting use before get_file to understand project layout.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use to understand project layout and discover key files before reading them with get_file,' providing clear context. However, it does not explicitly exclude other use cases or mention when not to use it.

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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