Skip to main content
Glama

transcribe_upload_finalize

Finalize a chunked upload, compress the video, and transcribe it using Whisper. Returns structured JSON or plain text for easy integration.

Instructions

Finalize a chunked upload, run compression + Whisper, return structured JSON (or text with as_text).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
upload_idYes
skip_compressionNo
engineNo
languageNo
as_textNo
asyncNo
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that compression and Whisper are run, and that output can be structured JSON or text if as_text is set. However, it does not mention error behaviors, required permissions, or handling of the async parameter. This is adequate but not thorough.

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 a single sentence that efficiently conveys the core purpose and key option. No filler words or repetition. It front-loads the main action and is appropriately sized for a tool with a clear, limited scope.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of 6 parameters (including enums and optional fields) and no output schema, the description is too terse. It does not explain each parameter's role, the return structure in detail, or prerequisites. The agent would need to infer or experiment, which is incomplete.

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

Parameters2/5

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

Schema coverage is 0%, so the description must compensate. It only hints at the 'as_text' parameter by mentioning 'or text with as_text'. Other parameters (upload_id, skip_compression, engine, language, async) are not clarified, leaving the agent without additional meaning beyond the schema.

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 states the verb 'Finalize' and the resource 'chunked upload', and specifies the processing steps (compression + Whisper) and output format (structured JSON or text). It distinguishes this tool from siblings like transcribe_upload_start and transcribe_upload_append by being the finalization step.

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

Usage Guidelines2/5

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

The description implies usage for finalizing a chunked upload but lacks explicit guidance on when to use versus alternatives, such as not using for single uploads or that it should follow transcribe_upload_append. No exclusions or when-not-to-use are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/JamesANZ/transcript-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server