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codelogic-graph-search

Search the CodeLogic knowledge graph to find symbols, dependencies, or relationships by text query or identity prefix.

Instructions

Search the CodeLogic knowledge graph (curated HTTP API). Provide query or identity_prefix; optional scan_space, materialized_view_id, limit. Requires server route POST .../ai-retrieval/graph/search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoAlias for query
limitNoSuggested max hits (server may cap)
queryNoSymbol or text query (alias: q)
scan_spaceNoOptional scan-space / branch filter
identity_prefixNoPrefix of stable graph identity
prefer_latest_scanNo
materialized_view_idNoOverride MV id; default from workspace name
Behavior2/5

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

No annotations provided, so description carries full burden. Mentions HTTP route and limit cap, but fails to disclose read-only nature, side effects, return format, or error handling.

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?

Single sentence with front-loaded core action, efficient listing of parameters, no redundancy.

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?

Adequate for a search tool but lacks output format details, explicit required parameters, and clearer differentiation from siblings. With 7 parameters and no annotations, more context would be beneficial.

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 description coverage is high (86%). Description adds value by indicating alternatives (query or identity_prefix) and grouping optional parameters, but adds little beyond what the schema already provides.

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?

Clearly states 'Search the CodeLogic knowledge graph' with specific verb and resource, but does not differentiate from sibling tools like codelogic-graph-impact or codelogic-graph-path-explain.

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

Usage Guidelines3/5

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

Provides minimal guidance on providing query or identity_prefix with optional parameters, but lacks explicit when-to-use or when-not-to-use instructions and does not mention alternatives among siblings.

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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