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list_uptime_checks

Read-onlyIdempotent

Retrieve uptime check configurations from a GCP environment to review monitoring coverage and diagnose availability incidents.

Instructions

List Cloud Monitoring uptime check configurations.

Args: limit: Maximum number of uptime checks to return. environment: Which configured GCP environment to query, e.g. 'staging' or 'production'. Omit to use the default environment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
environmentNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.4.0

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds some context by scoping the query to a configured GCP environment and noting the default behavior when environment is omitted, but it does not disclose other behavioral details such as response shape or pagination.

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?

The description is compact and front-loaded with the core purpose, followed by a minimal Args section. Every sentence earns its place, with no redundant filler or repetition of schema defaults.

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 read-only list tool with two optional parameters, the description covers the essential invocation details and the environment-scoping concept. It does not describe the return format, but since there is no output schema and this is a straightforward list operation, the gap is minor rather than blocking.

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%, so the description carries full responsibility for explaining parameters. It does so clearly for both: limit is 'Maximum number of uptime checks to return' and environment is explained with concrete examples ('staging', 'production') and guidance to omit for the default. This adds real meaning beyond the bare schema types and defaults.

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: 'List Cloud Monitoring uptime check configurations.' This clearly distinguishes the tool from sibling tools that handle logs, metrics, alerts, cost, or compute resources, so an agent can confidently identify its purpose.

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 about when to use this tool versus alternatives, and no exclusions are stated. The environment parameter is explained for selecting an environment, but the description does not help an agent decide between this and sibling tools such as list_alert_policies or query_metric.

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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