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search_code

Find relevant functions and classes in your codebase using natural language queries. Returns top matches with IDs to select for code context extraction.

Instructions

Search codebase for relevant functions/classes. Returns top matches with IDs. ALWAYS use this first to find candidates, then use AskUserQuestion to let user pick. After user selects, use extract_code_context with the entity_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language search query
top_kNoNumber of results (default 10)
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 mentions returning top matches with IDs but does not elaborate on any behavioral traits such as rate limits, destructive actions, or authentication needs. The description is minimal on behavioral context.

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 concise with three sentences. It front-loads the purpose and then provides actionable workflow instructions. No wasted words.

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?

Given there is no output schema, the description should explain the return value more thoroughly. It states 'Returns top matches with IDs' but does not specify the structure or details of matches. For a search tool with complex returns, this is incomplete.

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 3. The description adds the workflow context but does not provide additional semantics beyond what the schema already describes for the parameters. Parameters are adequately covered by 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 it searches the codebase for functions/classes and returns top matches with IDs. It distinguishes from sibling tools by describing a workflow: use this first, then AskUserQuestion, then extract_code_context.

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

Usage Guidelines5/5

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

The description provides explicit usage guidance: 'ALWAYS use this first to find candidates, then use AskUserQuestion to let user pick. After user selects, use extract_code_context with the entity_id.' This clearly indicates when to use this tool and what to do next.

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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