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Check Overspan usage and limits

get_usage
Read-only

Review your API key's tier, limits, month-to-date quota, and recent request history to pace query usage without consuming quota.

Instructions

Check this API key's tier, its limits, month-to-date quota, and recent request history. Does not consume query quota. Use it to pace yourself when running many queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4.5/5.0
Behavior4/5

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

The annotation readOnlyHint=true already signals no mutation, and the description adds the valuable detail that the call does not consume query quota. This is meaningful behavioral context beyond what annotations alone provide.

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, every clause earns its place. The main purpose is front-loaded, and the critical non-consumption fact plus usage guidance follow without bloat.

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?

For a zero-parameter read-only tool, the description fully covers what the agent needs: what it returns, that it has no quota cost, and when to invoke it. No output schema is required to make this callable.

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?

There are zero parameters, so there is nothing for the description to document. The description instead clarifies what information the tool reports, which covers the semantic gap completely.

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 ('this API key') and exactly what gets checked: tier, limits, month-to-date quota, and request history. This clearly distinguishes it from sibling query tools like overpass_query or find_nearby.

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 explicitly says to use it to pace yourself when running many queries. It doesn't state exclusions or alternatives, but the use case is clear and no sibling competes for this role.

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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