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dibun75
by dibun75

search_codebase

Search across code nodes using semantic vectors to retrieve relevant code snippets and files, with understanding of file connections for precise context.

Instructions

Semantic vector search across CodeNodes. Returns list of nodes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states 'search' and 'returns list', omitting details like whether it is read-only, required permissions, rate limits, pagination, or sorting behavior.

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

Conciseness3/5

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

The description is concise with a single sentence, but it sacrifices completeness for brevity. It is front-loaded with the core action, but lacks depth for a tool with minimal other documentation.

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 presence of an output schema, the description could rely on it for return values, but it does not explain what the 'list of nodes' contains. With multiple sibling tools, the description should provide more context to help agents choose correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, yet the description does not add any meaning to the 'query' parameter. It fails to describe the expected input format, constraints, or how the semantic search works, leaving agents without crucial guidance.

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 performs 'semantic vector search across CodeNodes' and returns a list of nodes. This provides a specific verb and resource, distinguishing it from siblings like dead_code_detection or get_dependency_chain. However, it does not explain what 'CodeNodes' are, which slightly reduces clarity.

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 given on when to use this tool versus alternatives. The description does not mention when-not-to-use, prerequisites, or which sibling tools might be better suited for different search needs.

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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