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

The readOnlyHint annotation already establishes safety, so credit goes to the added context: default ordering is newest-updated first, and nested resources come back as {id, resource_type} references unless expanded via include. It also cites the underlying endpoint, giving the agent a mental model of the call, though it says nothing about pagination limits or result size.

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 tight sentences: the resource and sort order come first, the filter modes follow, and the include/reference caveat plus endpoint close it out. Every clause carries information an agent would otherwise have to infer.

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?

With 10 optional parameters but no output schema, the description covers the filtering surface, the id-fetch path, and how nested resources are returned, which is enough to call it correctly. It omits pagination behavior and any hint at the shape of a case object, which would have helped without an output schema.

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 is 3; the description earns above it by clarifying the priority filter direction ('max priority level'), grouping the identity pair as one logical filter, and explaining the reference-versus-expansion behavior of include beyond the parameter's own wording.

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 and resource with synonyms for disambiguation ('cases (conversations / tickets)') and adds the default sort order ('newest-updated first'). It does not distinguish itself from the closest sibling, kayako_list_organization_cases, nor from kayako_search, so an agent must infer which list tool applies.

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 filtering modes (status, tags, priority, requester identity, or explicit ids), which implies usage, but never states when this tool is preferable to kayako_search or kayako_list_organization_cases, nor any exclusions. Usage is inferable rather than guided.

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