list_uptime_checks

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

Without annotations, the description carries the full burden of behavioral disclosure. It only restates that it lists checks and returns a list, without mentioning auth requirements, pagination, or what fields are included. The read-only nature is implied but not explicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The docstring format is well-structured with Args and Returns sections. It is concise, front-loaded, and contains no fluff—every sentence earns its place.

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

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

For a simple one-parameter list tool with no output schema, the description covers the essential purpose, parameter semantics, and return value. It lacks some behavioral details (e.g., auth, inclusivity of checks), but is adequate for basic invocation.

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

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

Schema description coverage is 0%, so the description compensates adequately by explaining that project_id is 'The ID of the GCP project to list Uptime checks for.' This adds meaning beyond the bare schema property name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb+resource+scope: 'List Uptime checks in a GCP project.' This clearly distinguishes it from sibling tools like list_gcp_projects or list_monitoring_metrics, which target different resources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context (requires a GCP project_id) but does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions or prerequisites such as required permissions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.