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query_fact

Retrieve facts, rules, and procedures about code entities from a knowledge graph tracking decision traces and constraints.

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')
contextNoAdditional context for the query
entity_typeNoOptional filter by entity type
content_typeNoOptional filter by content_type. Use 'procedure' to explicitly summon procedures (which are excluded from auto-injection by design).
Behavior2/5

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

No annotations provided, so the description must fully disclose behavior. It indicates a read operation but does not mention safety, auth requirements, rate limits, or side effects. The schema note about 'content_type' and procedures adds minimal behavioral context.

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?

The description is a single, clear sentence with no redundant information. It efficiently conveys the tool's purpose.

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?

Given 4 parameters, no output schema, and a brief description, the tool description is minimal but acceptable. It lacks return value details, pagination, and comparison to siblings. Schema coverage somewhat compensates, but completeness is average.

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 100%, so baseline is 3. The tool description adds no extra parameter meaning beyond the schema's own descriptions. The content_type enum includes a note about summoning procedures, but that is in the schema, not the tool description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool queries the knowledge graph for facts, specifying entity types like APIs, functions, classes. This verb-resource combination is distinct enough among siblings to indicate when this tool is appropriate.

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?

The description implies usage for entity facts but offers no explicit guidance on when to use it over alternatives like search_global or get_constraints. No exclusions or when-not-to-use are mentioned.

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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