Search Jitbit Helpdesk Tickets

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

Annotations cover key behavioral traits (read-only, non-destructive, idempotent, open-world), so the description's burden is lower. It adds value by specifying that the search matches against ticket subjects and bodies, which isn't in the annotations. However, it doesn't disclose other behaviors like rate limits, authentication needs, or error handling, keeping the score at a baseline level.

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 well-structured and appropriately sized, with a clear purpose statement followed by parameter and return details. It avoids unnecessary fluff, though the parameter section slightly repeats schema information, which is minor but keeps it from a perfect score.

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?

Given the tool's moderate complexity, rich annotations, and high schema coverage, the description is reasonably complete. It explains the search scope and return format, though without an output schema, it could benefit from more detail on the ticket structure. However, it covers the essentials for a search operation.

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%, meaning the input schema already documents all parameters thoroughly. The description repeats some parameter details (e.g., query matches subjects and bodies) but doesn't add significant new meaning beyond the schema. This meets the baseline score when schema coverage is high.

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 states the tool searches for tickets in Jitbit Helpdesk by keyword or phrase, providing a specific verb ('search') and resource ('tickets'). However, it doesn't explicitly differentiate from sibling tools like jitbit_list_tickets, which might also retrieve tickets but potentially without search capabilities.

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 no guidance on when to use this tool versus alternatives like jitbit_get_ticket or jitbit_list_tickets. It mentions searching by keyword or phrase but doesn't specify scenarios where this is preferred over other methods, leaving the agent to infer usage from context alone.

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