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FILTRIX.net

cancel_job

Stop a queued or running job of the caller. A finished job cannot be cancelled.

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": {
      "job_id": "<job_id>"
    },
    "name": "cancel_job"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idYesJob id returned by save_run or simulate_strategy.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already establish that this is a mutating, non-destructive, non-idempotent, open-world operation, so the safety profile is covered. The description usefully adds the state precondition (only queued/running jobs), but does not say what state the job ends in, whether partial output is preserved, or whether cancellation is immediate or graceful.

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 short sentences with zero filler; the core action and the key state restriction are both front-loaded. Nothing could be removed without losing information.

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?

For a single-parameter mutation with an output schema and full schema coverage, the description covers the essential precondition and scope. The remaining gap is routing information against sibling tools and the post-cancel job state, both minor given the structured fields.

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% and the schema's own job_id description ("returned by save_run or simulate_strategy") is more informative than anything in the tool description. The description adds no meaning about job_id beyond the schema, so the baseline of 3 applies.

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?

"Stop a queued or running job of the caller" gives a specific verb (stop) and resource (job) plus scope (the caller's own jobs). It is clear on its own, but it never distinguishes itself from similarly-named siblings such as delete_run, close_paper_run, or get_job.

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 implies the use case (cancelling work you no longer want) and adds a real selection rule: a finished job cannot be cancelled, so the agent should check state first. It names no alternatives, though, so an agent cannot tell from this text whether to use delete_run or close_paper_run instead.

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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