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Find Relationships

find_relationships
Read-onlyIdempotent

Query the story graph for entities connected to a given character or item, returning relationship types and direct links.

Instructions

Query the story graph for entities related to a given entity, returning the connected entities and the relationship types that link them. This covers cross-references and discovered connections for a specific entity; use character_network for the whole-cast graph, or discover_connections to surface co-occurring entities project-wide. Requires an open project with the relationship engine initialized.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kNoMaximum number of related entities to return. Omit for the engine default.
entityYesName of the entity to find relationships for, e.g. a character name.
relationNoOptional relationship type to filter by (e.g. "mentors"). Omit to return all relationship types.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
relationshipsYesStored relationships in which the queried entity is the head or tail.
Behavior4/5

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

Annotations already provide readOnlyHint, idempotentHint, destructiveHint. Description adds context about covering cross-references and discovered connections, and the requirement for relationship engine initialization, which is useful beyond annotations.

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?

Three concise sentences: purpose, differentiation, prerequisite. No wasted words.

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

Completeness5/5

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

Covers purpose, sibling differentiation, and prerequisite. Output schema exists so return values are handled. Fully adequate for this tool's complexity.

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% with good descriptions for all three parameters. Description does not add additional semantics beyond the schema, so baseline 3 is appropriate.

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?

Clearly states it queries a story graph for related entities, returns connected entities and relationship types. Differentiates from siblings character_network (whole-cast) and discover_connections (project-wide).

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

Usage Guidelines5/5

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

Explicitly tells when to use alternatives (character_network, discover_connections) and states prerequisite (open project with relationship engine initialized).

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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