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

No annotations are provided, so the description carries the full burden. It discloses ordering (newest first), the data source (vendor's status page), and the special case of returning covered:false for services without a Statuspage endpoint. Missing details like pagination or rate limits, but the disclosure is substantive for a read-only list tool.

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 two sentences, front-loaded with the core behavior and followed by use case and edge case. No filler or redundancy; every clause adds useful information.

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 3-parameter tool without an output schema, the description provides a clear picture: what the data is, the source, ordering, fields, and a notable edge case. It could mention pagination limits or the exact response structure, but given the absence of an output schema, the field list helps set expectations. Overall, it is reasonably complete.

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%, so the baseline applies. The description does not add any parameter-specific semantics beyond the schema; it mentions the fields returned but not how limit/window/service behave. The schema already documents the default values and the hint to use search_apis for resolving names, so the description adds no extra value here.

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 clearly identifies the tool's function: retrieving real incidents published by the vendor on its status page. It lists specific data points (start/end times, duration, severity, affected components, link) and distinguishes itself from probe-based tools by stating "it is the vendor’s own record, not our probes."

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 a concrete use case ("has X been flaky lately?") and clarifies the data source distinction from own probes, implicitly steering users to other tools for probe-based data. It also explains the edge case behavior for services without a public Statuspage endpoint. However, it does not explicitly name alternative sibling tools or state when not to use it.

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