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Vimeo MCP Server and API by Cotlet

Edit video details in Vimeo

vimeo_edit_video_details
Read-onlyIdempotent

Edit video details in the user's own Vimeo account from ChatGPT, Claude or any AI agent. Returns how to do it in Vimeo step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Vimeo Cloud Browser. Vimeo's official API: Vimeo has a full REST API with OAuth 2.0 and an official remote MCP server in public beta that covers only part of it (checked 17 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "vimeo_edit_video_details"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Adds real behavioral context beyond the annotations: "opens nothing by itself", returns screens/buttons/fields instructions, and operates in the user's own account. This explains why readOnlyHint and idempotentHint are true for a tool whose name says "edit" — the call only retrieves guidance. It stops short of describing the instruction format or any limits on which videos can be covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are front-loaded and carry the actionable content. The trailing sentence about Vimeo's official REST API and remote MCP server beta, including a check date, is informational background that does not help an agent select or invoke the tool.

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

Completeness3/5

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

No output schema exists, and the description does cover the return shape at a high level (step-by-step steps with screens, buttons, fields) plus the required follow-up tools. However, for a zero-parameter tool it leaves open how the specific video is targeted and how detailed the returned steps are.

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?

The tool takes zero parameters, so the baseline is 4 and there is no schema semantics to duplicate. One notable gap is that nothing explains how the target video is identified given the absence of a video ID parameter.

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 ("Edit video details in the user's own Vimeo account") and immediately clarifies that the tool itself only returns step-by-step instructions rather than performing the edit. This distinguishes it from the cotlet_browser_* action tools without requiring the agent to open a schema. The naming is slightly misleading on its own, but the description corrects it in the first sentence.

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 an explicit two-step workflow: call this to get the steps, then execute them with the cotlet_browser_* tools in the Vimeo Cloud Browser. It does not state when not to use it (e.g. for analytics or folder moves), but the workflow context is clear enough to route correctly.

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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