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get_talking_short

Read-only

Fetch a Talking Short generation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTalking Short generation id from generate_talking_short.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoJob status such as pending, queued, in_progress, completed, or failed.
videoIdNoLibrary clip id for this job, when one exists.
outputUrlNoDownload or playback URL when the job has finished.
generationIdNoGeneration id. Poll the matching get_* tool until status is completed or failed.
creditsChargedNoUsage already consumed from this month’s generation allowance (internal units).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

The description is consistent with the readOnlyHint/destructiveHint annotations and adds no behavioral claims that would surprise the agent. It does not go beyond the annotations to disclose things like failure behavior, polling semantics, or authentication requirements, so transparency is adequate but not rich.

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?

One short, front-loaded sentence with no filler; every word carries meaning. The description is appropriately sized for the tool's simplicity.

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

Completeness5/5

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

With only one required parameter, a documented output schema, and annotations covering the read-only safety profile, the description provides the necessary anchor for an agent to select and call the tool. Nothing essential is missing.

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%: the single id parameter is already documented as 'Talking Short generation id from generate_talking_short.' The description itself adds no additional parameter nuance, so the high-coverage baseline of 3 applies.

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?

The description uses a specific verb, 'Fetch', and names the exact resource, 'a Talking Short generation', which separates it from generation/quote tools and from other domain getters like get_topic_short or get_ad_generation. It does not explicitly contrast with generic publication retrieval tools, so it is clear but not fully differentiated.

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?

The one-line description alone only implies usage, but the id parameter description states the id comes from generate_talking_short, giving a clear workflow context. It does not, however, state when not to use this tool or mention alternatives such as get_generation_publication.

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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