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Get usage

get_usage
Read-onlyIdempotent

Get the workspace's usage against its Denser plan: queries used and remaining with the reset date, chatbots and pages against their limits, and messages per chatbot this period.

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_usage"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered; the description adds concrete information about what data is surfaced (quota consumption, reset date, per-chatbot message counts), which is the main behavioral unknown for a zero-parameter report. It does not discuss freshness or caching, keeping it short of a 5.

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?

A single sentence that front-loads the core purpose ('Get the workspace's usage against its Denser plan') and then lists the three result categories compactly. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries responsibility for describing return contents, and it does so fully: query usage/remaining plus reset date, chatbot and page limits, and per-chatbot messages. An agent knows what it will get without calling the tool.

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; the schema and description are aligned and the description correctly implies no input is needed. Baseline 4 applies for a parameterless tool.

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?

States a specific verb and resource ('Get the workspace's usage against its Denser plan') and enumerates exactly what is measured: queries used/remaining with reset date, chatbots and pages against limits, messages per chatbot. An agent can distinguish this from get_analytics or review_conversations without inspecting schemas.

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?

The name and description make the reporting use case reasonably clear, but there is no explicit when-to-use guidance nor any mention of the closest sibling (get_analytics) to disambiguate a usage/quota check from an analytics pull. Usage is implied rather than stated.

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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