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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds genuinely non-obvious behavior: default field scope is only subject and ticket number, relevance is the default order, and archived tickets require an explicit search_in entry. It stops short of describing result payload shape or pagination limits beyond the offset parameter.

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?

Three tight sentences with the core behavior front-loaded, then the scoping options, then the matching operators. No filler, no restatement of the tool name, and the endpoint reference is a compact trailing detail.

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 100% schema coverage, no output schema, and read-only annotations, the remaining burden is search semantics, which the description handles well. The one gap is return shape: it does not say whether results include ticket IDs, snippets, or match counts, so an agent cannot anticipate what comes back beyond the include_description flag.

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, but the description adds search-syntax semantics the schema lacks entirely: double quotes force exact phrase matching and *text* matches within words. It also corrects the schema's claim that search_in defaults to "all supported fields" by stating the real default is subject and ticket number, which materially changes how an agent builds a query.

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 ("full-text search over tickets") plus the ranking model ("most relevant first"), which is enough to separate it from the sibling listing tool desk365_list_tickets. An agent knows immediately this is a relevance-ranked text query, not an enumeration.

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 tells you how to widen scope with search_in, which is real usage guidance, but it never names a condition for choosing this over desk365_list_tickets or desk365_get_ticket. The distinction is implied by "full-text search" rather than stated, leaving the agent to infer when an enumerated list is preferable.

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