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Show my plan usage

get_my_usage
Read-onlyIdempotent

Returns how many assistant generations the user has used and their limit (monthly for paid plans, lifetime for the trial). Does not use a generation.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_my_usage"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds genuinely new context beyond that: the call is cost-free ('Does not use a generation') and the limit resets differently by plan type. It does not describe the return payload's shape, which matters slightly given there is no output 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?

Two tight sentences: the return value and its unit semantics come first, followed by the cost behavior. Every clause carries information an agent would otherwise have to guess, and there is no filler.

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 zero-parameter read with full annotation coverage, the description is nearly complete — it explains what is measured, the period basis, and the absence of a billing side effect. The only minor gap is that no output field names are given, which a consumer would have to discover by calling the tool since no output schema exists.

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 beyond what the empty schema shows. A 4 is the appropriate baseline for a parameterless tool whose inputs are self-evident.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (assistant generation usage and limit) with a clear verb ('Returns'), and it clarifies the unit semantics — monthly for paid plans, lifetime for the trial. This is immediately distinguishable from the sibling tools, which are all content-generation or configuration writers rather than usage reporting.

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 context is only implied: the note that it 'does not use a generation' signals it is free to call, which hints at checking quota before generating content. However, it never states when an agent should call it (e.g., before bulk generation, when a generation call fails on quota) or names any alternative.

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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