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MCPGeneration-for-ElevenLabs

MCPGeneration-for-ElevenLabs

get_dubbing_status

Read a dubbing project's current state and metadata, including reconciliation of terminal job status with the local budget reservation.

Instructions

Read the current state and metadata of a dubbing project, reconciling a terminal job state with the local budget reservation.

Input Schema

NameRequiredDescriptionDefault
project_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one non-obvious behavior: reconciliation of a terminal job state against the local budget reservation. However, it never states whether this is read-only or has a local side effect, whether it is idempotent, or whether it should be polled.

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?

One front-loaded sentence with the resource stated first and the reconciliation nuance second; nothing is wasted. The second clause is dense jargon ("terminal job state", "local budget reservation") that costs some immediate readability.

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?

There is no output schema and no annotations, so the description must explain what "state and metadata" actually contains and what happens for non-terminal jobs, and it does neither. For a status-polling tool, an agent cannot tell what it will receive or how to interpret it.

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 description coverage is 0%, so project_id has no documented format or provenance in either place, and the description does not compensate by saying where to obtain the ID (e.g., create_dubbing_project or list_dubbing_projects) or what a valid value looks like. The single parameter remains fully unexplained.

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 gives a specific verb ("Read") and resource ("current state and metadata of a dubbing project"), which separates it from the list-style sibling list_dubbing_projects and from get_budget_status. It does not explicitly name an alternative, but the singular project scope plus required project_id makes the distinction inferable.

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

Usage Guidelines3/5

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

Usage is only implied: the tool is for checking a dubbing project's state, and the clause about reconciling a terminal job state hints that it matters after job completion. There is no explicit when-to-use, when-not-to-use, or named alternative such as list_dubbing_projects for enumerating projects.

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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