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IBM

IBM watsonx.data MCP Server

Official
by IBM

cancel_ingestion_job

Cancel an active data ingestion job by providing its job ID, stopping the process immediately.

Instructions

Cancel a data ingestion job.

Args: job_id: Job identifier

Returns: Dict with cancellation status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Without annotations, the description must disclose behavioral traits. It only states 'Cancel' and returns a dict, but fails to mention idempotency, what happens if job is already finished, or permission requirements. This is insufficient for safe invocation.

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

Conciseness3/5

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

The description is short and follows a standard Args/Returns structure, but it omits necessary context, making it too sparse. It is concise but at the cost of completeness.

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?

Given the lack of annotations and the presence of an output schema, the description could be more complete. It does not address error states, preconditions (e.g., job must be active), or side effects. The tool requires more context for safe use.

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

Parameters2/5

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

The description for 'job_id' ('Job identifier') adds minimal meaning beyond the schema, which has 0% description coverage. It does not clarify format, source, or constraints, so the parameter is poorly documented.

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 cancels a data ingestion job, using a specific verb and resource. It distinguishes from sibling tools like create_ingestion_job and list_ingestion_jobs.

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 tool vs alternatives, nor any preconditions or exclusions. The description only states the action, leaving the agent to infer usage context from the name.

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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