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Glama

Quota status

quota_status
Read-only

Check today's estimated YouTube API quota usage in units and uploads for the current Google Cloud project, plus when it resets at midnight Pacific Time.

Instructions

Estimated YouTube API quota used today (units and uploads) for this Google Cloud project, and when it resets (midnight Pacific Time).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and openWorldHint=false, and the description adds meaningful context beyond them: the figures are estimates rather than exact counts, they cover the current day only, they are scoped to this Google Cloud project, and the reset occurs at midnight Pacific Time. That timezone and estimation caveat are exactly the kind of detail annotations cannot carry.

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?

A single sentence that front-loads the resource and enumerates the returned facts with zero filler. Nothing can be removed without losing information.

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 status tool with no output schema, the description covers what is measured, the scope, and the reset semantics. It could additionally note whether calling it consumes quota, but nothing essential to correct invocation is missing.

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 schema leaves nothing to explain and the baseline of 4 applies. The description correctly spends no words on parameter behavior.

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?

The description names the specific resource (YouTube API quota) and the exact values reported (units, uploads, reset time), so an agent knows precisely what it gets back. It does not explicitly contrast itself with siblings, though its scope is distinct enough from tools like get_analytics or auth_status that confusion is unlikely.

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?

There is no explicit when-to-use statement, no prerequisites, and no named alternative. The agent must infer that this is useful before quota-consuming operations or after quota-exceeded errors; the mention of reset time hints at that but does not state it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.