product_feedback_synthesis

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

No contradiction with annotations. The description adds useful context beyond the annotations by disclosing the dispatcher-routing behavior and the JWT/tenant/company scoping. However, given destructiveHint=true and openWorldHint=true, it stays silent about what side effects or writes the action may trigger, leaving the annotations to carry the safety burden without any elaboration.

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 compact and well-ordered: action statement, routing/scoping context, then an Args block that earns its place given the empty schema. The key verb is front-loaded and there is little wasted prose.

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?

Even though an output schema exists, the description omits what an agent most needs to invoke this correctly: what the synthesized result is, what inputs drive it, when to choose it over the many sibling domain-agent/product tools, and what the destructive open-world behavior entails. For a 2-param wrapper flagged as destructive, this is too thin.

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?

Since schema description coverage is 0%, the Args block does the heavy lifting and does add real meaning: `message` is framed as the free-text objective and `inputs` as an optional JSON string. But the semantics remain thin — no format examples, no hint of what structured inputs should contain, and no explanation of the defaults. It beats the empty schema but doesn't fully compensate.

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 ('Run') and resource (the product domain agent action `feedback_synthesis`), and names the routing mechanism. However, the purpose is largely circular: it says the action is invoked but never explains what feedback synthesis actually does or produces, so an agent must infer the semantics from the tool name alone.

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?

No guidance is given on when to use this tool versus alternatives. Siblings such as dispatch_domain_agent, product_trend_synthesis, product_analysis, and product_plan_domain_intelligence clearly overlap, yet the description offers no selection criteria, exclusions, or scenarios where this specific action is preferred.

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