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cvandesande

project-code-intelligence

by cvandesande

search_code_intel_semantic

Semantically search code by embedding your query and retrieving matching code intelligence records, such as functions and classes, from indexed repositories.

Instructions

Embed a query with the configured embedding backend and search embedded code intelligence records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo
collectionNo
repoNo
record_typeNo
languageNo
file_roleNo
content_classNo
confidence_kindNo
source_pathNo
symbolNo
metadata_keyNo
metadata_valueNo
metadata_containsNo
snapshot_idNo
include_historicalNo
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits beyond the basic operation. There's no mention of safety, permissions, side effects, or output characteristics.

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

Conciseness2/5

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

The description is a single sentence, which is concise but under-specified. It lacks important details that would help the agent, so it does not earn its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (16 parameters, nested objects, no output schema, no annotations), the description is severely incomplete. It fails to convey search behavior, filtering logic, or return value structure.

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?

With 0% schema description coverage and 16 parameters, the description adds no meaning to any parameter. No enum values or additional context are provided.

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 action 'embed a query' and 'search embedded code intelligence records', indicating it performs semantic search. However, it could be more precise about what 'embedded' means and how it differs from text search.

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 on when to use this tool vs siblings like search_code_intel_text or search_static_findings. The description lacks context for appropriate 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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