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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

public_submit_order

Submit an order using its order ID, spending ElevenLabs credits to process the request through the ElevenLabs API.

Instructions

Submit Order Spends ElevenLabs credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
order_idYesThe ID of the order.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false, so the safety profile is covered. The description adds the important credit-spend side effect, but does not describe return values, prerequisites, or recovery behavior.

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 a single short sentence with the action and cost warning front-loaded. It is appropriately sized, though the phrasing is slightly awkward and lacks punctuation.

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?

Given one required parameter, no output schema, and annotations that cover the operation's safety profile, the description is nearly complete. The credit-spend warning is the key missing contextual detail, but routing guidance relative to sibling order tools is absent.

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% for the single required parameter order_id, so the schema already documents the parameter fully. The description adds no parameter-level meaning beyond that baseline.

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 states a specific verb and resource ('Submit Order') and adds a side effect ('Spends ElevenLabs credits'). It does not, however, distinguish this tool from sibling order tools such as public_create_order or public_update_order.

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?

There is no explicit when-to-use, when-not-to-use, or alternative guidance. The only context is the implied action and the credit-spend warning, which is too thin to route an agent between public_submit_order and public_create_order/public_update_order.

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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