inspect_endpoint_status

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

With no annotations provided, the description carries the full behavioral burden. It does disclose that the tool performs live checks across several specific aspects, which is useful. However, it does not say what kind of request it makes, whether it returns raw data or a summary, or how it behaves if the endpoint is unreachable.

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 description is a single sentence with no filler. It front-loads the action and packs all relevant checked aspects into a compact, readable list.

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 read-only diagnostic tool with one optional parameter, the description conveys the core purpose and scope well. It is slightly incomplete in not indicating the shape of the result or behavior on failure, but these are minor gaps for a tool of this simplicity.

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 coverage is 100% for the single optional endpoint_url parameter, so the schema already documents its meaning and default value. The description does not need to add parameter-level detail, and the baseline of 3 is appropriate.

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 opens with a specific verb ('Checks') and identifies both the target resource ('SounnyForms serverless backend') and the specific dimensions probed (health, latency, CORS headers, readiness). This makes the tool's purpose unmistakable and clearly distinct from the sibling tools, which focus on submitting forms or generating form code.

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 clearly implies when this tool should be used: whenever an agent needs to assess the live status of the backend. It does not explicitly name alternatives or exclusion conditions, but the sibling tools are so different in purpose that the context is clear enough for correct selection.

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