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list_entities

Read-only

Retrieve entities from your knowledge graph with optional type filtering and pagination.

Instructions

List knowledge graph entities.

Entities are the nodes in your knowledge graph — subjects and objects of triples.

Args: limit: Maximum entities to return (default 100). offset: Pagination offset. entity_type: Optional type filter.

Returns: JSON string with entities list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
entity_typeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint=true. The description adds that it returns a JSON string, but does not disclose additional behaviors like pagination limits or data freshness.

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 concise (6 lines), front-loaded with purpose, and uses a clear Args/Returns structure without unnecessary fluff.

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?

With an output schema present, the description adequately covers all parameters and return format, providing sufficient information for the agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description thoroughly explains all three parameters: limit (default 100), offset (pagination), and entity_type (optional filter), fully compensating for the missing schema descriptions.

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 lists knowledge graph entities and explains entities as nodes, distinguishing it from sibling tools like get_entity, query_triples, and graph_edges.

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

Usage Guidelines4/5

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

The description implies usage for listing entities with optional filters, but does not explicitly contrast with alternatives. However, the context of siblings provides differentiation.

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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