create_tasks_batch

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

No annotations provided; description fully covers non-atomic behavior, partial failure, fallback defaults, and return structure, leaving no hidden behaviors.

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?

Four concise sentences with front-loaded purpose. No redundancy; every sentence provides unique information.

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 no output schema, description compensates by detailing return format {created, failed} and error handling. Covers batch size, atomicity, and fallbacks completely.

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 covers all 3 parameters with 100% description coverage. Description adds value by noting fallback defaults for specific fields and batch size limits, exceeding baseline.

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?

Clearly states bulk-creation of tasks in Kanboard via batch request, distinguishing from single-task 'create_task' sibling. Verb 'Bulk-create' and resource 'tasks' are specific.

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?

Implies use for multiple tasks (1-100 per call), notes partial failure and fallback defaults. Lacks explicit 'when not to use' but sibling create_task provides clear alternative.

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