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fastmcp-me

gcp-mcp

by fastmcp-me

get_bucket_details

Fetches comprehensive details for a Cloud Storage bucket, including metadata, configuration, and permissions. Provide project ID and bucket name to get started.

Instructions

    Get detailed information about a specific Cloud Storage bucket.
    
    Args:
        project_id: The ID of the GCP project
        bucket_name: The name of the bucket to get details for
    
    Returns:
        Detailed information about the specified Cloud Storage bucket
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
bucket_nameYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that the tool gets and returns detailed information, without mentioning permissions, side effects, error behavior, or what constitutes 'detailed information.' This is minimal transparency for a read operation.

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 is structured as a clear docstring with Args and Returns sections. It is succinct, but the Returns line ('Detailed information about the specified Cloud Storage bucket') is redundant with the opening sentence, adding minor waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple, but the description lacks details about the return format or any prerequisites (e.g., bucket exists, required permissions). Since there is no output schema, the description should clarify what 'detailed information' includes. It is adequate for a basic get operation but leaves gaps.

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 input schema provides no descriptions for project_id or bucket_name, but the description's Args section adds clear definitions: 'The ID of the GCP project' and 'The name of the bucket to get details for.' This compensates for the 0% schema coverage and gives the agent meaningful parameter understanding.

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 clearly states the tool's purpose: 'Get detailed information about a specific Cloud Storage bucket.' It uses a specific verb ('get') and resource ('Cloud Storage bucket'), and the word 'specific' distinguishes it from list_storage_buckets and other get tools like get_instance_details.

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?

No guidance is given on when to use this tool versus alternatives. It does not mention that list_storage_buckets should be used for listing all buckets, nor any conditions or exclusions. The only implicit hint is 'specific,' but no explicit alternatives or when-not-to-use scenarios are provided.

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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