bulk_create_interviews

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

With no annotations, the description bears full responsibility for behavioral disclosure. It only mentions a candidate limit but omits what happens when the limit is exceeded, whether the operation is synchronous, what response is returned, or any required permissions. For a tool that schedules interviews en masse, this leaves critical invocation behaviors unclear.

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 very short and front-loaded, which is good for scanability, but it omits essential details that could be conveyed in a few more sentences. It is concise but not well-structured for the information an agent needs.

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?

For a tool with 5 parameters, a bulk scheduling operation, and no annotations or output schema, the description is drastically incomplete. It does not cover parameter semantics, behavioral outcomes, or invocation requirements, making it insufficient for correct usage.

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 0%, meaning the description must explain the parameters. It does not mention title, candidates, interview_type, job_description, or interviewer_mode. The agent must rely solely on the schema, which provides only names and types but no semantics, leaving meaning ambiguous.

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 specifies the action (schedule), resource (AI interviews), and a key constraint (max 50 candidates), making it clear this is a bulk variant of create_interview. It distinguishes from single-interview creation but doesn't elaborate on the exact nuance beyond 'bulk'.

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 no guidance on when to use this tool versus single interview creation, bulk invites, or other scheduling tools. It implies bulk usage but provides no exclusions or alternative recommendations, leaving the agent to infer based on name alone.

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