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check_runway

Inspect AI provider rate-limit windows, quota utilization, remaining capacity, and reset countdowns to assess if actions justify quota usage before exhausting limits.

Instructions

Inspect current AI provider rate-limit windows, quota utilization percentages, remaining capacity, and reset countdowns across Claude, Gemini, Antigravity, GitHub Copilot, Colab, OpenRouter, and OpenAI. Note: This reflects provider quota windows and rate limits, not session token counts.

Input Schema

NameRequiredDescriptionDefault
refreshNoBypass cache and force an immediate re-fetch from provider CLIs/APIs.
providerNoOptional provider filter ('claude', 'gemini', 'antigravity', 'copilot', 'colab', 'openrouter', 'openai').

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. 'Inspect' implies a read-only operation and the note clarifying that this reflects provider quota windows rather than session token counts is genuinely valuable disambiguation, but auth requirements, caching behavior, and the shape of the response are left unstated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core capability and followed by a scope exclusion. The provider list is long but purposeful; there is essentially no filler.

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?

No output schema exists, so the description does the work of describing what comes back — utilization percentages, remaining capacity, reset countdowns — and explicitly rules out session token counts. Only auth/caching details are missing, which is minor for a two-optional-parameter read tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so both parameters are already documented, including the refresh bypass and the provider filter values. The description's provider enumeration mirrors the schema's provider list rather than adding syntax or format detail, so baseline 3 is appropriate.

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 ('Inspect') and a concrete resource set — rate-limit windows, quota utilization, remaining capacity, reset countdowns — and enumerates the seven providers covered. It is immediately clear what the tool does, though it never distinguishes itself from the sibling assess_action.

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 implied by the resource it inspects (checking provider quota windows), and the closing note usefully excludes session token counts. However, there is no explicit 'use when' statement and no reference to when assess_action would be the better choice.

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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