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@speechweave/mcp

@speechweave/mcp

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by speechweave
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TypeScript
Hybrid

Cancel job

cancel_job

Cancel a queued or processing transcription job to stop it before completion. Use when the job is no longer required.

Instructions

Cancel a queued or processing transcription job. Fails if the job is already terminal.

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 a create or wait-first transcription tool.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses the key failure condition (job already terminal), which is critical for safety. No hidden behaviors are implied.

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 sentences, zero waste. The first sentence states the primary action, the second adds a crucial constraint. Perfectly front-loaded.

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 cancellation tool with no output schema, the description covers the essential behavior and a key edge case. Could mention success side effects (e.g., job state change), but not required for minimal completeness.

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 parameter description is adequate. The tool description adds no extra semantic information beyond the schema's 'job_id' description, so baseline 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 uses a specific verb-resource combination ('Cancel...transcription job') and clearly distinguishes from siblings like 'get_job_status' (status query) and 'transcribe_file'/'start_job_*' (job creation).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states when to use (queued/processing jobs) and implicitly when not to (terminal jobs will fail). It could explicitly reference alternatives like 'get_job_status' to check status first, but the context is clear.

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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