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MCPGeneration-for-ElevenLabs

MCPGeneration-for-ElevenLabs

get_budget_status

Retrieve local generation policy, observed usage, and unsettled reservations to check remaining budget before making ElevenLabs API calls.

Instructions

Read local generation policy, observed local usage and unsettled reservations.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden; it does confirm this is a read and names the three data groups returned, which is meaningful disclosure. But it says nothing about whether reading affects budget state, what 'unsettled reservations' means, or how fresh the observed usage is.

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?

A single front-loaded sentence with no filler, listing the three outputs in one compact clause. Slightly terse to the point that 'unsettled reservations' reads as unexplained jargon, but no sentence is wasted.

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?

For a zero-argument tool with no output schema, the description is the only source of return-value information, and it enumerates the data groups reasonably. It remains thin on what those groups contain and how they relate to the sibling budget/usage tools, leaving the agent to infer the response shape.

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 there is nothing for the description to disambiguate; baseline 4 applies. The description does not waste effort inventing parameter guidance that does not exist.

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 verb 'Read' plus three specific objects (local generation policy, observed local usage, unsettled reservations) makes the resource concrete. 'Local' implicitly distinguishes it from get_remote_usage_report and get_usage_report, but no sibling is named explicitly.

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 statement of when to call this versus get_usage_report, get_remote_usage_report, estimate_cost, or set_local_budget. Usage is only inferable from the word 'Read' and the 'local' qualifier; no exclusions or preconditions are given.

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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