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ask_repo

Ask questions about a repository's structure, purpose, dependencies, patterns, or concerns to understand the codebase through natural language queries.

Instructions

Ask a question about an analyzed repository. Questions can be about structure, purpose, dependencies, patterns, or concerns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoOptional: path to repo if different from last analyzed
questionYesThe question to ask about the repository (e.g., 'What does this repo do?', 'Why is the auth service structured this way?')
Behavior2/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does not state that the tool is read-only, whether it requires prior analysis, or any side effects. The description lacks behavioral details beyond the basic action.

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 concise and to the point. No unnecessary words or repetition.

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?

With no output schema, the description should explain what the agent can expect as a response (e.g., an answer text). It also does not mention that the repository must be analyzed first, though sibling tools imply context. The description is incomplete for effective use.

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%, and the schema already contains examples for the 'question' parameter. The description adds marginal value by listing question types, but those are similar to schema examples. Baseline 3 is appropriate.

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 verb 'ask' and the resource 'repository', and provides examples of question categories (structure, purpose, etc.). However, it does not explicitly distinguish from sibling tools like 'repo_summary' or 'why_is_this_weird', which may also answer questions.

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, nor does it mention prerequisites (e.g., that the repository must have been analyzed first). It only states what the tool does.

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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