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Suggest Briefs

suggest_briefs

Run AI clip-suggestion analysis on a long-form media item — the CLIPPING path (find the best short-form moments). Returns { status, alreadyRunning? }; then wait_job(kind="suggestions", id=mediaItemId) — its terminal lists each suggestion WITH its briefId. When the media belongs to a PROJECT, each finalized suggestion is promoted to a kind-'clip' BRIEF (its window pinned as a beat) — list_briefs {kind:"clip"} shows them and compose({ briefId }) runs the flagship path from one. Project-less media: pass the suggestion id to compose({ suggestionId }) directly. Clipping is a vertical, NOT the general path.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "mediaItemId": "<mediaItemId>"
    },
    "name": "suggest_briefs"
  }
}

Input Schema

NameRequiredDescriptionDefault
commandIdNoRetry identity. A call repeated with the same commandId returns the first result instead of acting twice.
mediaItemIdYesmediaItemId (path).

Output Schema

NameRequiredDescriptionDefault
statusNo
alreadyRunningNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • addedInput schema / $defs
      Added value: +{
      +  "__schema0": {
      +    "maxLength": 128,
      +    "minLength": 1,
      +    "type": "string"
      +  }
      +}
    • addedInput schema / properties / commandId / $ref
      Added value: +"#/$defs/__schema0"
    • removedInput schema / properties / commandId / maxLength
      Removed value: -128
    • removedInput schema / properties / commandId / minLength
      Removed value: -1
    • removedInput schema / properties / commandId / type
      Removed value: -"string"
  2. Changed1 schema field changed
    • addedInput schema / properties / commandId
      Added value: +{
      +  "description": "Retry identity. A call repeated with the same commandId returns the first result instead of acting twice.",
      +  "maxLength": 128,
      +  "minLength": 1,
      +  "type": "string"
      +}
  3. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Adds substantial workflow context beyond annotations: it returns { status, alreadyRunning? }, requires wait_job(kind='suggestions', id=mediaItemId), and describes promotion of finalized suggestions into clip briefs for project media. Annotations already disclose non-read-only and non-idempotent behavior, but the description does not mention auth needs, failure modes, or rate limits.

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 description is front-loaded with the tool's purpose and every sentence carries workflow-relevant information. It is dense and jargon-heavy with nested parentheticals, but not redundant.

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?

Covers the async start, polling via wait_job, project promotion to clip briefs, and project-less compose path. Since an output schema exists, return values need not be fully documented, though failure or retry behavior could be clearer.

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%, and commandId already has a schema description covering retry semantics. The description contextualizes mediaItemId as the long-form media item and explains downstream id usage, but it does not add format details or explain commandId beyond what the schema provides.

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 verb and resource: 'Run AI clip-suggestion analysis on a long-form media item', and explicitly scopes it as the CLIPPING path. It distinguishes the tool from the general composition path by stating 'Clipping is a vertical, NOT the general path.'

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

Usage Guidelines5/5

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

Explicitly explains when to use this tool and names alternatives: wait_job for completion, list_briefs for promoted clips, and compose({ briefId }) vs compose({ suggestionId }) depending on project membership. The project vs project-less media split gives concrete routing guidance.

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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