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list_entities

Retrieve all entities extracted from a document, organized by type such as hardware or instruction, for a quick overview of its content.

Instructions

List all entities extracted from a document, grouped by type (hardware, memory_address, instruction, person, company, product, concept). Great for getting an overview of what a document covers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doc_idYesDocument ID
entity_typesNoFilter by entity types (optional, returns all types if omitted)
min_confidenceNoMinimum confidence threshold (0.0-1.0, default: 0.0)
Behavior2/5

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

No annotations provided. The description only states it lists and groups entities, with no disclosure of behavioral traits such as whether it's a read-only operation, authentication needs, or rate limits. Since annotations are absent, the description carries full burden but provides minimal transparency.

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?

Two sentences, no wasted words. The first sentence delivers the core action and grouping, the second provides a clear use case. Highly efficient.

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 no output schema and simple parameters, the description explains purpose and grouping adequately but lacks details like pagination, ordering, or expected number of results. For an overview tool, it's minimally sufficient.

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 description adds value by mentioning grouping by type, which is output behavior, but does not add extra meaning to the individual parameters beyond what the schema already provides.

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 tool lists all entities from a document grouped by type, with specific examples of types. It differentiates from siblings like search_entities (which searches) and get_top_entities (which returns prominent ones) implicitly, but does not explicitly call out alternatives.

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 says it's 'great for getting an overview,' implying use for broad exploration, but does not state when not to use it or mention alternatives like search_entities for specific queries.

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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