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gcp-mcp

by fastmcp-me

set_quota_project

Assign a Google Cloud project for API quota attribution, resolving the warning about missing quota project during authenticated requests.

Instructions

    Set a quota project for Google Cloud API requests.
    
    This helps resolve the warning: "Your application has authenticated using end user credentials 
    from Google Cloud SDK without a quota project."
    
    Args:
        project_id: The ID of the GCP project to use for quota attribution
    
    Returns:
        Confirmation message if successful, error message otherwise
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
Behavior3/5

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

With no annotations, the description carries the transparency burden. It accurately states the effect (setting a quota project), the contextual warning it resolves, and the return format (confirmation or error). However, it does not disclose side effects, persistence, or permission requirements, which are relevant for a mutation tool.

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?

The description uses a clear docstring structure with purpose, context, args, and returns. The quoted warning is valuable but adds length; overall it remains focused and free of 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?

For a simple one-parameter tool with no output schema, the description covers what, why (the warning), parameter semantics, and return behavior. It could additionally mention persistence or side effects, but it is appropriately complete for the tool's simplicity.

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

Parameters5/5

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

The schema only labels project_id as 'Project Id' with no description, and schema coverage is 0%. The description compensates fully by explaining it as 'The ID of the GCP project to use for quota attribution', clearly conveying the meaning and role of the parameter.

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 states a specific action ('Set a quota project') with its resource ('for Google Cloud API requests'), clearly distinguishing it from siblings like config_set_project by focusing on quota attribution rather than project config. The explicit mention of the warning scenario adds scope.

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?

Provides a clear trigger for use by quoting the specific warning message ('Your application has authenticated using end user credentials from Google Cloud SDK without a quota project'). This tells an agent when to invoke the tool, though it does not explicitly mention alternatives or when not to use it.

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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