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Summary or action items

request_summary
Idempotent

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

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 already declare non-read-only, idempotent, non-destructive, but the description adds the genuinely necessary behavior: the call returns immediately and results must be polled via get_job. It omits whether re-requesting regenerates or re-bills the summary, which matters given the pay_job/estimate_cost siblings.

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, zero waste, with the trigger action front-loaded and the async read path immediately after it.

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 handles the return-value question by pointing to get_job and naming the summary/action_items fields. Only the cost/regeneration semantics and permission requirements are left unaddressed.

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 each parameter, including the type enum and the robot_key requirement, is already documented in the schema. The description adds no syntax, format, or constraint detail beyond it, 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?

States a specific verb and resource: request an AI summary or action items for a completed job. It also distinguishes itself from get_job by explaining that get_job is the read path for the output, so the agent understands this tool only triggers the work.

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?

"of a completed job" gives an explicit precondition, and "the result appears in get_job" tells the agent the follow-up call to make. No when-not-to-use guidance is given, but no obvious competing sibling exists for this action.

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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