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query_fact

Search a knowledge graph for facts about code entities such as APIs, functions, and classes, with optional filters by type for precise results.

Instructions

Query the knowledge graph for facts about entities (APIs, functions, classes, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query (e.g., 'User.findByEmail', 'JWT authentication')
entity_typeNoOptional filter by entity type
contextNoAdditional context for the query
Behavior3/5

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

With no annotations, the description carries full burden. It indicates a read operation (querying the knowledge graph) but lacks details on side effects, permissions, or data freshness. Adequate but not rich.

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?

Extremely concise single sentence with no wasted words. Information is front-loaded and clear.

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 tool has 3 parameters including a nested object and no output schema, the description is too minimal. It does not explain return values, how to use context, or provide examples. Incomplete for effective use.

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 tool description adds no extra meaning beyond the schema's parameter descriptions. No additional context 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 it queries the knowledge graph for facts about entities, with examples. It differentiates from siblings like search_global by focusing on entities and facts, though not explicitly.

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 versus alternatives like search_global or get_constraints. The description only states what it does, not when to prefer it.

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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