invoke_interactive_design_agent

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

No annotations are provided, so the description must disclose behavioral traits. It says 'dispatches' and lists outcomes, but it does not describe what 'interactive' means, whether the call is synchronous, how the response is formatted, or any side effects or requirements. This leaves significant ambiguity about runtime behavior.

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, information-dense sentence that quickly states the action and lists the five agent personalities. It is not overly verbose, but the parenthetical list makes it slightly clunky. Overall it earns its place with relevant specifics.

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 and no annotations, the description must convey return format and interaction behavior. It mentions expected outcomes ('deep design critique, strategic guidance, and code optimizations') but does not explain how the response is delivered, what 'interactive' means, or how parameters are used together. These gaps make it incomplete for a moderately complex 4-parameter tool.

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?

The input schema covers all 4 parameters with descriptions (100% coverage), so the baseline is 3. The tool description adds no extra parameter-level meaning beyond the schema; it only implies that codeSnippet may relate to 'code optimizations' but doesn't explicitly connect them.

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 clearly states the tool's job: 'Dispatches design challenges to specialized adaptive AI design agents' and lists the exact agent personas. This distinguishes it from the generic sibling 'invoke_design_agent', but it does not explicitly contrast with that or other siblings, and the word 'interactive' in the name is not explained.

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 implies usage when design challenges need critique, strategy, or code optimization, and the listed agent names suggest domain-specific use. However, it does not state when to use this tool versus alternatives, nor does it give any exclusion criteria or mention sister tools like 'invoke_design_agent' or 'anti_slop_audit'.

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