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fastmcp-me

gcp-mcp

by fastmcp-me

get_cluster_details

Retrieve detailed information about a GKE cluster using project ID, cluster name, and location. Access cluster status, configuration, and metadata for management.

Instructions

    Get detailed information about a specific GKE cluster.
    
    Args:
        project_id: The ID of the GCP project
        cluster_name: The name of the GKE cluster
        location: The location (region or zone) of the cluster
    
    Returns:
        Detailed information about the specified GKE cluster
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationYes
project_idYes
cluster_nameYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavior beyond confirming it returns information. It lacks any mention of read-only nature, required permissions, side effects, or how the response is structured. The 'Returns' line simply restates the purpose.

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 appropriately sized, front-loaded with the main purpose, and uses a clear Args/Returns structure. The Returns line is somewhat redundant ('Detailed information' again), but it does not waste much space.

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?

For a simple read operation, the description gives the essential inputs and a generic outcome. However, with no output schema, it does not specify what fields the returned 'detailed information' contains. It also does not mention prerequisites or how this tool relates to list_gke_clusters. It is adequate but not rich.

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?

The Args section adds some meaning over the schema by describing each parameter. 'location' is clarified as 'region or zone', which is valuable. However, 'project_id' and 'cluster_name' descriptions are trivial (just restating the parameter names). Since schema coverage is 0%, the description partially compensates but is not thorough.

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 opens with a specific verb and resource: 'Get detailed information about a specific GKE cluster.' This clearly distinguishes it from sibling tools like list_gke_clusters (listing clusters) and get_sql_instance_details (a different resource).

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?

The description implies usage when you need details for a specific cluster but does not explicitly state when to use this tool versus alternatives like list_gke_clusters. No exclusions or alternative recommendations 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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