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analyze_directory

Map repository structure and understand each file's purpose. Use for questions about project organization or directory contents.

Instructions

Map repository structure and understand what each file/module does. Preferred when questions ask about project organization or 'what's in this directory'. Example: {path: './src', depth: 3, maxFiles: 100}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesRelative or absolute path to directory
depthNoMaximum traversal depth (default: unlimited)
maxFilesNoMaximum files to enumerate (default: 500)
Behavior2/5

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

No annotations provided, so description must cover behavior. It only states purpose and parameters, not side effects, performance implications, or whether it reads file contents. Minimal behavioral 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?

Two concise sentences plus a relevant example. No fluff, front-loaded with purpose.

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?

No output schema, and description does not specify return format (e.g., list of files with summaries). The phrase 'understand what each file/module does' is vague. Missing critical detail for agent to interpret results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers all parameters (100% coverage). Description adds an example with typical values, providing practical context beyond the schema definitions.

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 maps repository structure and understands files/modules. It distinguishes from siblings like deep_research or quick_query by focusing on project organization.

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 'Preferred when questions ask about project organization or what's in this directory' and provides an example. No explicit alternative guidance, but context is clear.

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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