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Summary or action items

request_summary

Ask for an AI summary or action items of a completed job. Returns at once; the result appears in get_job ("summary" / "action_items").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes"summary" or "action_items".
job_idYesjob_id returned by transcribe_url or create_upload.
robot_keyYesThe robot_key you received with your first job. Required to read or start your jobs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations only carry destructiveHint=false, so the description does the heavy lifting and discloses the key non-obvious trait: the call returns immediately (asynchronous trigger) and the artifact surfaces later in get_job under 'summary'/'action_items'. It could say more about failure modes or whether the request can be re-issued.

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, front-loaded with the action and immediately followed by the async-result contract. Every clause carries information; nothing is padding.

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?

With no output schema, the description correctly explains where the result appears (get_job), which is the essential return-path information for this async tool. Minor gaps remain around error/precondition behavior if the job is incomplete.

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 description coverage is 100% and all three parameters are documented in the schema, so the baseline is 3. The description echoes the enum values and the completed-job constraint on job_id but adds no syntax or format meaning beyond the schema.

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?

States a specific verb and resource: requesting an AI summary or action items for a completed job. It also implicitly distinguishes itself from get_job by noting the result is read there, though it never explicitly says 'use this instead of X'.

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 phrase 'of a completed job' encodes a precondition (job must be finished) and the second sentence routes the agent to get_job to retrieve the output, which is clear usage context. No explicit exclusions or alternative-selection guidance beyond that.

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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