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

Annotations only declare readOnlyHint, so the description carries most of the behavioral load and does so well: it discloses result ordering (newest-updated first) and that nested resources come back as {id, resource_type} references unless `include` expands them — non-obvious semantics not derivable from the schema. It still says nothing about pagination boundaries or result-size behavior.

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?

Two dense sentences plus a one-line endpoint reference; ordering is front-loaded and every clause adds either a filter mode or a behavioral fact. No filler.

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?

No output schema exists, so the description must cover behavior, and it covers filtering, ordering, and reference semantics adequately for a list endpoint. It omits anything about the response envelope or pagination interplay with limit/offset, which keeps it from a 5.

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%, so the baseline is 3, but the description adds real meaning beyond the schema: it frames `ids` as an alternative to filtering, groups the identity pair (identity_type/identity_value) as one requester lookup, and explains the reference-vs-expansion behavior of `include`.

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?

States a specific verb+resource with scope ('cases (conversations / tickets)'), plus ordering and the two operating modes (filter vs. fetch by ids). Clear enough to distinguish from kayako_get_case and kayako_list_case_posts, though it never names a sibling to contrast against, so it falls just short of 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?

It enumerates the available filter dimensions (status type, tags, priority ceiling, requester identity, specific ids), which implies how to use the tool, but gives no when-to-use/when-not guidance relative to alternatives such as kayako_search or kayako_list_organization_cases.

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