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deep_search

Perform codebase archaeology: search git history, diffs, and greps to answer questions about when or why code changed and where it's used.

Instructions

Delegate codebase archaeology to the Antigravity CLI: git log/diff/blame spelunking, wide greps across a repo, 'when/why did X change', 'where is Y used'. USE THIS instead of running many search commands yourself — it saves your context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat to find, e.g. 'when was the auth middleware refactored and why'.
cwdNoAbsolute path to the working directory / project root. Defaults to the server's cwd.
modelNoOverride the model (exact name from `agy models`, e.g. "Gemini 3.1 Pro (High)"). Normally omit — the tool routes automatically.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions delegating to an external CLI and lists git commands, but lacks details on side effects, permissions, or limitations. The description is adequate but could be more explicit.

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 three concise sentences, front-loading the purpose and use case. Every sentence adds value, and the structure is efficient and clear.

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?

The description covers the tool's purpose and usage well, but lacks details on output format or potential limitations (e.g., timeouts). However, given the tool's search nature and lack of output schema, this is acceptable.

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 the schema already documents parameters well. The description adds context through example queries but does not significantly enhance the parameter descriptions beyond the schema.

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 performs codebase archaeology using git commands and grep, with specific examples like 'when/why did X change'. It effectively differentiates from sibling tools, none of which are similar search tools.

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?

The description explicitly advises using this tool instead of running many search commands manually to save context. While it doesn't state when not to use it, the guidance is clear and helpful.

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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