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hybrid_search

Combine lexical BM25 and semantic vector searches to retrieve ranked, context-rich code results from the indexed codebase.

Instructions

Perform a hybrid search combining lexical BM25 candidates and semantic vector candidates to produce ranked, context-rich results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return. Defaults to 20, capped at 100.
queryYesThe search query to match lexically and conceptually against the codebase.
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions the combination of BM25 and vectors and 'ranked, context-rich results', but lacks details on ranking specifics, result structure, or any side effects. It adds some value but is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently conveys the core functionality. It is front-loaded with the key action and resource. However, it could be slightly more detailed without becoming verbose.

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?

Given the lack of output schema, the tool's return format is not described. The concept of 'context-rich results' is vague. With only 2 parameters and no output schema, the description should elaborate on what the agent can expect from the response.

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 baseline is 3. The description does not add any parameter-specific details beyond the schema's existing descriptions for 'query' and 'limit'. No additional meaning is provided.

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 a hybrid search combining lexical BM25 and semantic vectors, distinguishing it from siblings like 'search_code' and 'semantic_search'. The verb 'perform' and specific resource 'hybrid search' make it unambiguous.

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 hybrid search vs alternatives such as semantic_search or search_code. It does not mention any prerequisites or exclusions, leaving agents to infer usage.

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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