get_design_handoff

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

No annotations are provided, so the description carries behavioral transparency. It discloses the availability windows and the JSON return shape, and 'get' implies a read operationikuha. However, it does not disclose auth requirements, failure behavior, or what happens when called outside the stated states.

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 a single dense sentence with no filler. The front-loaded subject and colon-structured list make the return contents immediately scannable.

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 no output schema, the description compensates by itemizing the returned components and adding availability constraints. It is sufficient for an agent to call the tool correctly in the right flow state, though edge-case/error behavior is not covered.

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 100%, so the parameters are already well documented. The tool description adds no meaning about how to supply designId or handoffKey, so the baseline of 3 applies.

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 resource ('the design's continuation bundle') and its output format ('as JSON'), and enumerates the bundle's contents. It does not explicitly contrast against siblings such as get_design_prompt_pack, so it lacks a direct differentiation, but the purpose is clear.

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 clearly conveys when the tool is usable: 'mid-flow (project paused at EXTERNAL_DESIGN) and post-completion.' This is a helpful context signal, though it does not mention exclusions or explicitly point to alternatives.

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