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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint false and openWorldHint false, so safety is covered structurally. The description adds real value beyond that by disclosing the sort order (newest first) and the shape of the payload: categories, launch types, attributes like open-weight or API-available, the official announcement and the Kingy record.

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?

It is a single dense sentence with the source and ordering front-loaded and no filler. The trailing enumeration of returned fields is long but each item earns its place by telling the agent what to expect in the response.

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 read-only, zero-required-parameter list tool with full schema coverage and complete annotations, the description covers provenance, ordering and returned fields adequately. The main residual gap is pagination or result-count behavior, which neither the description nor an output schema addresses.

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 100%, with each of the five filters documented in the input schema, so the schema does the heavy lifting. The description only loosely gestures at the filters by referencing categories, launch types and attributes; it adds no syntax, matching behavior, or interaction rules between query and the other filters.

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 names a specific resource (AI model, tool and feature launches), its source (Kingy AI Launch Tracker), and its ordering (newest first), so the agent knows exactly what comes back. It stops short of explicitly distinguishing itself from near siblings such as list_ai_shutdowns or search_kingy, which would have earned a 5.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no pointer to alternatives. With a sibling search_kingy and an overlapping 'query' filter on this tool, the agent has to infer the boundary between browsing launches and searching the broader Kingy corpus.

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