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code_search

Search code by query to find functions, classes, or blocks using keyword, vector, or hybrid matching; optionally follow imports for related code.

Instructions

Search code semantically. Finds functions, classes, and blocks matching a query using keyword + fuzzy matching. Optionally follows imports for related code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoSearch strategy: keyword (exact/prefix/fuzzy), vector (semantic similarity), or hybrid (RRF fusion of all)keyword
limitNoMaximum results to return (default: 10, max: 50)
queryYesSearch query (e.g. "authentication middleware", "database connection")
scopeNoDirectory path to limit search scope (default: current working directory)
followImportsNoFollow imports to find related code chunks (default: false)
Behavior3/5

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

With no annotations, the description carries full burden. It discloses search scope, mode options, and optional import-following, but does not mention side effects, performance characteristics, or result behavior (e.g., pagination, truncation).

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: first states core functionality, second adds a notable optional feature. No redundant information, efficient and well-structured.

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?

Given the moderate complexity and no output schema, the description covers the main behavior (search, follow imports) and mentions mode options indirectly. It lacks details about result format but is largely complete for a search tool.

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 is 3. The description adds general context (e.g., 'keyword + fuzzy matching') but does not elaborate on individual parameters beyond what the schema provides. No significant semantic enhancement.

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 tool's purpose: searching code semantically using keyword and fuzzy matching, targeting functions, classes, and blocks. It also mentions optional import-following. However, it does not explicitly distinguish from sibling tools like 'index_codebase', though most siblings are unrelated.

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?

No guidance is provided on when to use this tool versus alternatives or when not to use it. The description lacks usage context, prerequisites, or exclusions.

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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