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Get Account Usage & Quota

get_usage
Read-onlyIdempotent

Get current billing period usage and remaining quota — mcp_queries, api_requests, export_companies, ask_ai_credits, watchlist_companies. Includes limits and reset date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds value beyond that by spelling out the exact metrics returned plus the inclusion of limits and reset date, which is the key behavioral context for a quota tool and is especially useful 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?

One front-loaded sentence naming the resource, then an em-dash list of metrics and a short clause on limits and reset date. No filler, and the highest-value information (usage + remaining quota) comes first.

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 return-value burden and does so by listing the metric keys, limits, and reset date. What remains missing is scope (which account/workspace the usage applies to) and the relationship to get_plan, both minor for a no-arg 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 the baseline is 4. The description cannot add parameter meaning, and none is needed; the enumeration of metrics describes the response rather than inputs, which is a reasonable substitute.

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?

States a specific verb ('Get') and resource ('current billing period usage and remaining quota') and enumerates the five metric buckets returned. It is clear what the tool does, but it never differentiates itself from the related sibling get_plan, so an agent must infer the boundary between 'usage/quota' and 'plan'.

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

Usage Guidelines2/5

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

The phrase 'current billing period' implies a reporting context, but there is no statement of when to call this versus get_plan, get_financials, or the key-listing tools, and no mention of prerequisites or account scope. Usage is left entirely to inference.

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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