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gcp-mcp

by fastmcp-me

list_monitoring_metrics

Retrieve available monitoring metrics for a GCP project by passing the project ID and an optional filter string to narrow results.

Instructions

    List available monitoring metrics for a GCP project.
    
    Args:
        project_id: The ID of the GCP project to list metrics for
        filter_str: Optional filter string to narrow down the metrics
    
    Returns:
        List of available monitoring metrics in the specified GCP project
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filter_strNo
project_idYes
Behavior3/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It states it returns a list of metrics and mentions an optional filter, but does not disclose safety, permissions, or error behavior. Since it's a simple read-only list operation, the lack of side effects is implied but not explicitly stated.

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 brief and structured with Args and Returns sections, but it repeats the purpose ('List available monitoring metrics') in both the opening and the Returns line, introducing slight redundancy. It is still appropriately sized and easy to parse.

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 list tool with only two parameters and no output schema, the description is largely complete: it explains the function, parameters, and return type. It lacks minor context like error conditions or pagination, but covers the essential information for an agent to select and invoke the tool correctly.

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?

Schema description coverage is 0%, yet the description's Args section clearly explains both parameters: project_id as the GCP project ID and filter_str as an optional filter. This fully compensates for the schema gap by adding meaning beyond the structured fields.

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 'List available monitoring metrics for a GCP project' with a specific verb and resource. It distinguishes itself from sibling monitoring tools like get_monitoring_alerts and list_uptime_checks by focusing on metrics.

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 by stating it lists metrics for a GCP project, but does not explicitly discuss when to use it versus alternatives or mention any prerequisites. There are no exclusions or alternative tool recommendations, so guidance is only implied.

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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