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deepl_get_usage

Read-onlyIdempotent

Retrieve DeepL API usage and quota details for the current billing period using an auth key to monitor remaining translation capacity.

Instructions

Get DeepL API usage and quota information for the current billing period.

Input Schema

NameRequiredDescriptionDefault
auth_keyYesDeepL Auth Key

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.9
  2. Removed
  3. Addedv0.1.5

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is fully covered. The description adds the meaningful detail that results are scoped to the current billing period, but says nothing about response shape, rate limits, or authentication behavior beyond the required key in the schema.

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 sentence, zero filler, with the resource and its time scope front-loaded. Nothing could be removed without losing information.

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?

For a simple single-parameter read tool with full annotation coverage and no output schema, the description says what is returned (usage and quota) and the period it covers. Only minor gaps remain, such as whether quota is per-character or per-request.

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?

There is a single parameter with 100% schema description coverage, so the schema fully documents auth_key. The description adds no syntax or acquisition guidance for the key, so the baseline 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 states a specific verb (Get) and resource (DeepL API usage and quota information) with a clear time scope (current billing period). It is easily distinguished from the other DeepL siblings (translate_text, translate_document, list_languages), though it doesn't name them explicitly.

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 implied rather than stated: an agent can infer this is the tool for checking remaining quota before translating, but there is no explicit when-to-use guidance, no mention of when other DeepL tools apply, and no note about failure modes such as an invalid key.

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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