CatchAll

Add Dataset Entities

add_dataset_entities

Add existing entities to a dataset.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "dataset_id": "<dataset_id>",
      "entity_ids": "<entity_ids>"
    },
    "name": "add_dataset_entities"
  }
}

Input Schema

Name	Required	Description
`api_key`	No	CatchAll API key. Optional if provided via x-api-key header or CATCHALL_API_KEY env var.
`dataset_id`	Yes	The dataset ID to add entities to.
`entity_ids`	Yes	List of entity IDs to add (required).

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedJul 14, 2026

TDQS

C2.9/5.0

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states a mutation action without describing side effects, error handling, idempotency, or behavior when an entity is already in the dataset. This is a significant gap for a mutation tool.

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 with no redundancy. It is front-loaded with the action and concise, appropriate for a straightforward operation. No wasted words.

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?

Although an output schema exists (per context signals) and the operation is simple, the description is extremely minimal. It lacks critical context such as error conditions, idempotency, or any requirements for the entities to already exist. For a tool with no annotations, more behavioral detail is needed to make it complete.

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%, meaning all parameters have descriptions in the schema. The tool description adds no additional meaning about parameters, such as the relationship between entity_ids and dataset_id, so it meets the baseline but does not exceed it.

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 states a specific verb 'Add' with a clear resource 'existing entities' and target 'dataset'. The word 'existing' distinguishes it from creation tools, but it does not explicitly name alternatives like create_entities_batch or create_entity, relying on the reader to infer the distinction.

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 provided on when to use this tool versus alternatives. It does not mention prerequisites (e.g., entities must already exist) or indicate that it is for linking existing entities rather than creating new ones. There are no exclusions or references to sibling tools.

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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