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get_account_usage

Read-only

Read your account plan, data-use license, shared data call allowance, usage, and UTC reset date. Check commercial_use_allowed when the user states a commercial purpose. This tool does not consume the data allowance.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds non-obvious behavior beyond that: the call is free with respect to the data allowance, and the reset date is UTC-based. It does not describe pagination or response shape, but neither is relevant for a zero-parameter read.

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?

Three short sentences, front-loaded with the resource list, then the one actionable conditional, then the cost caveat. Every sentence carries distinct information and nothing is repeated from the schema or annotations.

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?

With no output schema, the description carries the burden of telling the agent what comes back, and it does so by naming the five data categories including the actionable commercial_use_allowed flag. It does not describe value formats or units for allowance/usage, which is a minor gap for a simple read 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 baseline for a no-param tool applies. The description instead spends its words on the returned fields, which is the right use of space here.

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 opens with a specific verb ('Read') and enumerates the exact resources returned: account plan, data-use license, shared data call allowance, usage, and UTC reset date. That is far more precise than the name alone and cannot be confused with any sibling (market stats, property, rent history).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a concrete usage trigger — 'Check commercial_use_allowed when the user states a commercial purpose' — and removes a common hesitation by stating the call does not consume the data allowance. It stops short of naming alternatives or explicit when-not-to-call conditions, so it is clear but not exhaustive.

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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