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Create an upload

create_upload

For a file on your machine: returns an upload_url. PUT the file to it, then call start_transcription.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoDefault "mai-transcribe". See get_service_info.
summaryNoAlso write an AI summary when the transcript is ready.
filenameYesFile name including extension, e.g. "meeting.mp3".
languageNoISO 639-1 code such as "en". Omit to auto-detect.
robot_keyNoPass the robot_key from your earlier jobs so all your jobs stay together. Omit on your very first call — a new one is returned.
size_bytesYesExact file size in bytes (max 2 GB).
action_itemsNoAlso extract action items when the transcript is ready.
content_typeYesMIME type, e.g. "audio/mpeg" or "video/mp4".
speaker_labelsNoLabel who speaks when.
translate_to_englishNoTranslate the speech to English while transcribing. Only with model "whisper".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations only supply destructiveHint=false; the description carries the real behavioral burden and does so well, disclosing the two-phase flow (get upload_url, PUT the bytes to it) that is not visible anywhere in the schema or annotations. It omits operational details such as upload_url expiry, auth requirements, or POST-vs-PUT content expectations.

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 filler, and the sequence of actions is front-loaded in the order the agent must execute them. Every clause earns its place.

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 usefully states what comes back (upload_url) and what to do with it, and the schema covers all inputs. The remaining gap is lifecycle detail — how long the URL is valid, whether robot_key must be carried forward — which a first-time caller would benefit from.

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%, so all 10 parameters already carry their own documentation (model default, robot_key chaining, size limit, ISO language codes). The description adds no parameter-level meaning beyond the schema, so the baseline 3 applies.

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?

States a specific resource (upload) and outcome (returns an upload_url) plus the exact follow-up call (start_transcription). The phrase "For a file on your machine" implicitly scopes it against URL-sourced siblings like transcribe_url, so an agent can route correctly without opening a schema.

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?

Gives a clear triggering condition (a local file) and names the next step explicitly ("then call start_transcription"). It does not, however, name the alternative to use when the media is not on the machine (e.g., transcribe_url), so the routing is implied rather than fully spelled out.

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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