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Get quota usage

get-quota-usage
Read-only

Get used, limit and remaining for each quota: prompts (active prompts), articles (created this billing period), site audits and chat messages. A null limit means unlimited.

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 readOnlyHint=true, destructiveHint=false and a closed-world scope, so safety is covered. The description adds genuine behavioral context beyond that: it discloses the return shape (used, limit, remaining per quota) and the important edge case that a null limit means unlimited, which prevents an agent from misreading null as zero or missing data.

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 payload-shape statement comes first, followed by the null-limit caveat. Every clause earns its place — the quota enumerations and the billing-period note all carry information an agent needs to interpret the response.

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 zero-parameter read-only tool with no output schema, the description is nearly complete: it names the returned fields, the quota categories and the null semantics. It stops short of noting freshness/caching or whether an unsubscribed account errors versus returns zeros, but those are minor gaps for an otherwise self-explanatory read.

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 the baseline is 4 and there is nothing for the description to disambiguate. The parenthetical definitions of each quota type (e.g. articles counted for 'this billing period') are a bonus, though they describe outputs rather than inputs.

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 ('Get') and resource ('quota usage') and then enumerates the exact quotas covered (prompts, articles, site audits, chat messages), so an agent knows precisely what this returns. No sibling tool overlaps this account-level quota read, and the description makes that scope unambiguous.

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 only implied: the description makes clear it's a quota/billing-period inspection call, but never states when an agent should reach for it (e.g. before creating prompts or articles to check headroom) or what alternative to use for related billing data. Adequate but with no explicit when-to-use guidance or exclusions.

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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