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query_fact

Query a knowledge graph to retrieve facts about codebase entities such as APIs, functions, and classes. Filter by entity type for targeted searches.

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
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the query action without mentioning side effects, auth requirements, or rate limits. It implies read-only but is not explicit.

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?

The description is a single concise sentence with no fluff. However, it is slightly under-specified for completeness, which reduces the score from 5.

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 no output schema and an optional nested 'context' parameter with a vague description, the description should provide more context about return values, result format, and parameter usage. It falls short.

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% (all parameters have descriptions). The description does not add significant meaning beyond the schema; it merely reinforces that the tool queries for facts. Baseline 3 is appropriate.

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 ('Query') and resource ('knowledge graph for facts'), and lists entity types. It is specific but does not explicitly differentiate from sibling tools like 'search_global' or 'get_constraints'.

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?

The description provides no guidance on when to use this tool vs alternatives (e.g., search_global). No when-to-use or when-not-to-use information is given.

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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