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CatchAll (by NewsCatcher)

List Dataset Entities

list_dataset_entities

List the entities contained in a dataset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination (default: 1).
searchNoOptional text filter on entity name.
statusNoOptional status filter: 'pending', 'enriching', 'ready', or 'failed'.
api_keyNoCatchAll API key. Optional if provided via x-api-key header or CATCHALL_API_KEY env var.
sort_byNoOptional sort field: 'created_at', 'name', or 'status'.
page_sizeNoNumber of results per page (default: 100).
dataset_idYesThe dataset ID whose entities you want.
sort_orderNoOptional sort direction: 'asc' or 'desc'.
entity_typeNoOptional type filter: 'company' or 'person'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden. It only states the action without disclosing behavior such as pagination, filtering, read-only nature, or response structure. The schema covers parameters, but the description adds no 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, front-loaded with the core action. No wasted words.

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

Completeness4/5

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

Given the rich schema with 100% parameter coverage and an output schema, the description is sufficient for the core purpose. It doesn't mention optional filters, but those are in the schema. Adequate.

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 parameters are already documented. The description doesn't add any extra meaning about parameters, but doesn't need to since the schema is thorough. Baseline 3 applies.

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 action (list) and the resource (entities within a dataset), distinguishing it from siblings like list_entities and list_datasets. It is specific and unambiguous.

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?

No guidance on when to use this vs alternatives like list_entities or get_entity. The description does not mention any conditions or exclusions, so an agent must infer the intended use from the name alone.

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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