who_did_the_most_jobs

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is established. The description adds context by specifying the ranking behavior ('by completed jobs') and the date-range limitation, which goes beyond the structured annotations.

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 two concise sentences, front-loaded with purpose and example queries. Every sentence adds value, with no redundant fluff.

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?

The tool has an output schema, so return values are covered. The core purpose and date-range scope are stated. Minor gaps remain around the definition of 'completed jobs' and parameter interaction, but these are not critical given the structured annotations and 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 description coverage is 0%, so the description must compensate. It mentions 'for a date range' but does not explain how start_date, end_date, and days interact (e.g., whether days is an alternative to explicit dates or what the default range is). This is insufficient for the three parameters.

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 explicitly states the tool 'Ranks technicians/routes by completed jobs for a date range' with a specific verb and resource. It also provides example questions that frame the purpose, clearly distinguishing it from siblings like who_are_my_technicians.

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 gives clear context via example queries ('Who did the most jobs?', 'Who's my top technician?') and mentions the date range scope. It does not explicitly name alternatives, but the examples signal when this tool is appropriate compared to sibling tools.

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