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CatchAll (by NewsCatcher)

Create Entities Batch

create_entities_batch

Create multiple entities in one call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoCatchAll API key. Optional if provided via x-api-key header or CATCHALL_API_KEY env var.
entitiesYesA list of entity objects. Each object requires a ``name`` plus one identifying field for good enrichment: either a top-level ``"description"`` or ``"additional_attributes": {"company_attributes": {"domain": "..."}}``. Also accepts optional ``entity_type`` ('company'/'person'). May also be passed as a JSON-string array.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
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 of behavioral disclosure. It only states the core action without revealing side effects, idempotency, auth requirements, failure modes, or limits. For a batch operation, important behaviors like partial success or validation are not mentioned. This is a minimal disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no redundant words. It is front-loaded and efficient. However, its brevity may be too sparse for the tool's complexity, but it earns a 4 for being concise and clearly structured.

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

Completeness2/5

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

The description is insufficient for a batch creation tool. It does not explain return values, error handling, validation rules, or any prerequisites. Even though an output schema exists, the description adds no operational context. An agent would need to infer behavior from the schema alone, which is insufficient for a non-trivial mutation.

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?

The input schema fully describes both parameters, including the entities structure and optional api_key. The description adds no parameter-specific meaning beyond what the schema already provides. Given 100% schema coverage, the baseline of 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?

The description states a clear action: 'Create multiple entities in one call.' It specifies the verb (create), the resource (entities), and the key differentiating factor (multiple vs single, implying batch). This distinguishes it from the sibling tool create_entity without needing further context.

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 is given on when to use this tool versus alternatives like create_entity. While the batch aspect is implicit, there is no explicit statement such as 'use this for bulk operations' or 'prefer create_entity for a single entity.' The description lacks any contextual or exclusionary guidance.

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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