postWorkItems

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

Annotations already declare idempotentHint=false and readOnlyHint=false, so the sentence about repeat calls creating additional resources largely restates structured data. The genuinely additive content is the dry_run workflow (validate first, preview returned as text and as structured content when an output schema is declared), which is useful behavioral context not derivable from annotations. It does not cover permissions, payload size limits, or what happens when referenced users/categories do not exist.

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?

Front-loads the action, then effect, idempotency caveat, dry_run tip, and example in a logical order with no filler. The dry_run/output-schema sentence is a bit meta but still short.

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 an output schema present, return values need not be explained, and the 100% schema coverage plus the worked example make the call constructible. Remaining gaps are minor: no mention of limits on batch size or how relationship IDs are validated, but nothing essential to invoking it correctly is missing.

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; the description goes beyond it by supplying a complete, copy-ready example payload showing the `data[].type`/`attributes` shape and the `projectId`+`requestBody` envelope. That example meaningfully helps an agent construct the deeply nested body, though it does not explain relationship object semantics (author, assignee, categories).

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?

Opens with a concrete verb+resource ("Creates a list of Work Items") that makes clear this is a batch creation endpoint, distinguishing it from read tools like getAllWorkItems and from relationship/attachment posters such as postWorkItemRelationships. It could be slightly sharper about how it differs from sibling creators like postWorkItemApprovals or postLinkedWorkItems, but the core purpose is unambiguous.

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?

Gives clear operational context: state-changing effect, non-idempotency, and an explicit recommendation to run with `dry_run: true` first to validate and preview. It stops short of naming alternatives (e.g. patchWorkItem for updates) or prerequisites such as required project permissions, so it is clear but not fully exclusive.

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