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OneStepTranscribe MCP server

prepare_upload

Step 1 of transcribing a file. Verifies the account has credits, then creates the order and returns a one-time command to upload the audio. IMPORTANT: this server never receives the file. After calling this you (the assistant) must upload it directly from the user's machine: (1) get the file size in bytes — stat -f%z <file> (macOS), stat -c%s <file> (Linux), or wc -c < <file> — and pass it as filesize; (2) pass the absolute file_path; (3) run the returned curl command to PUT the file straight to S3; (4) call start_transcription with the same email and the returned order_id. The upload URL expires in 1 hour, so upload immediately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesThe customer's email address. The transcript is emailed here.
filesizeYesExact size of the audio file in bytes (run `stat`/`wc -c` first).
referrerNoOptional referrer email (earns the referrer a credit).
file_pathNoAbsolute path to the local audio file, used to build a ready-to-run upload command. The file is never read by this server.
ai_summaryNoOptional: also generate an AI summary (title, key points, chapters).

TDQS

A4.6/5.0
Behavior5/5

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

No annotations are provided, but the description compensates fully. It discloses that the server never receives the file, that the upload URL expires in 1 hour, and that the assistant must handle the upload directly. This goes beyond typical transparency and ensures the agent understands the tool's side effects and constraints.

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?

The description is well-structured and front-loaded with the tool's role. Every sentence provides necessary information without redundancy. The inclusion of a clear workflow and IMPORTANT notes ensures efficiency for the agent.

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 tool with no output schema, the description adequately covers the return value (a curl command) and the overall workflow. It could be improved by explicitly stating the response structure or fields, but it is still complete enough for the agent to execute the next steps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds significant value by explaining how to obtain filesize (stat/wc commands), that file_path is used to build a ready-to-run upload command, and the role of email and optional parameters. This procedural detail goes beyond schema descriptions.

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 clearly identifies the tool as 'Step 1 of transcribing a file' with specific actions: verifying credits, creating an order, and returning a one-time upload command. It effectively distinguishes itself from sibling tools like buy_credits, check_credits, and start_transcription.

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?

Provides explicit step-by-step instructions after calling the tool, including getting file size, passing file_path, executing the returned curl command, and calling start_transcription. However, it could improve by explicitly stating when NOT to use this tool or noting alternatives, such as checking credits first.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool serves a clear, non-overlapping purpose: credit purchase, credit check, upload preparation, and transcription start. No ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (buy_credits, check_credits, prepare_upload, start_transcription) using underscores.

Tool Count5/5

Four tools perfectly cover the core workflow (credit management + upload/transcript) without unnecessary extras.

Completeness4/5

The workflow is covered end-to-end, but there is no tool to poll transcription status or retrieve results (they are emailed). This minor gap could be addressed with a status tool.

Resources