create_work_packages_bulk

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

Annotations provide only generic flags (readOnly=false, idempotent=false, etc.), so the description carries important behavioral weight. It discloses a per-item success/failure report, which is valuable for a bulk operation where partial failures are likely. It stops short of describing the report's exact shape or what happens on mixed success/failure, but the disclosure is solid.

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?

Three sentences, all useful: what the tool does, a concrete bulk-use example, a key parameter nuance, and the return behavior. No filler or repetition of schema details.

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 bulk creation tool with full schema coverage and no output schema, the description states the core behavior, the flexibility of parent_id, and the per-item report. It could be slightly richer about the shape of the per-item report or any ordering implications, but nothing essential is missing for correct invocation.

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 adds meaningful context by explaining that each item can have its own parent_id, allowing stories to attach to different Epics in the same call. This goes beyond the schema's generic field description and guides parameter usage.

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 states a specific verb and resource ('Create multiple work packages in one call') and clarifies the bulk nature, distinguishing it from the singular create_work_package sibling. The example ('User Stories parsed from a Word document') further grounds what this tool is for.

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?

It provides a concrete use case ('all the User Stories parsed from a Word document') and explains how items can attach to different Epics, making the bulk scenario clear. It does not explicitly mention the singular create_work_package alternative, but the 'one call' phrasing and sibling list make the intended usage obvious.

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