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navidmoazzez

Google Photos MCP

by navidmoazzez

Check how much daily quota is left

quota_status
Read-onlyIdempotent

Check current Google Cloud API request and media-byte usage against the daily quota to prevent RESOURCE_EXHAUSTED failures before starting a long batch.

Instructions

Report how much of the Google Cloud project's daily budget this server has spent: 10,000 API requests and 75,000 media-byte requests, both resetting at midnight UTC.

Counted by this process since it started, so it is a floor rather than a true reading. Worth checking before a long batch, and worth reading when calls start failing with RESOURCE_EXHAUSTED.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4.7/5.0
Behavior5/5

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

Adds a critical behavioral caveat beyond what annotations provide: the count is 'a floor rather than a true reading' because it is 'counted by this process since it started.' This prevents the agent from over-trusting the number as the authoritative Google Cloud quota figure. It also discloses the specific limits and reset period. No contradiction with readOnlyHint=true.

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?

Three sentences with distinct jobs: what it reports and the limits, the measurement caveat, and when to call it. Every sentence earns its place; there is no filler or repetition of the title.

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 0-parameter status tool with rich annotations, the description covers what is measured, both quota types, limits, reset time, the floor caveat, and recommended usage timing. The lack of an exact return format is a minor gap since the reported quantities are already specified.

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 has 0 parameters and an empty schema (100% coverage trivially), so the baseline of 4 applies. There are no parameters in need of explanation or compensation.

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 uses a specific verb ('Report') and resource ('the Google Cloud project's daily budget') with concrete limits (10,000 API requests, 75,000 media-byte requests) and a reset time (midnight UTC). No sibling tool covers quota, so it is unambiguous which tool this is.

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?

Gives two explicit trigger conditions: check before a long batch, and check when calls start failing with RESOURCE_EXHAUSTED. It does not name alternatives or when-not-to-use, but none of the 28 siblings competes for this role, so the context is still clear.

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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