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

Beyond the read-only, open-world, idempotent annotations, the description adds meaningful behavioral context: candidate routing improvements are enabled live only when under test, no candidate is active right now, and this is a full working router rather than a thin fallback. This materially changes how an agent should interpret results and prevents misconceptions about the tool being incomplete.

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 information-dense and front-loaded with the beta relationship to ask_pipeworx. Some specifics, such as the exact 5,743-tool count and the retirement date, are slightly beyond what is strictly needed, but they support the 'currently identical' claim; overall it is a bit wordy but every sentence earns its place.

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?

It covers the tool's identity, current active-candidate status, behavior relative to ask_pipeworx, and usage instruction. However, with no output schema, the promise of "same response shape" is only a pointer to the sibling; an agent without prior knowledge of ask_pipeworx's response would still lack concrete return-value detail.

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 100% of parameters, including a description for `question` and each alias, so the description adds little semantic value about inputs. It mentions "same arguments" but does not explain argument nuances, making the schema the primary source of parameter meaning.

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 immediately identifies this as the beta variant of ask_pipeworx and states it is a universal router with the same 5,743 tools, arguments, and response shape. It clearly distinguishes it from the stable ask_pipeworx by framing it as the experimental edge, so an agent knows exactly what resource it targets.

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 explicitly tells the agent to use it "exactly like ask_pipeworx when you want the newest routing" and explains that results are compared against the stable router to guide merges. The beta framing and direct alternative naming give clear context for when to choose this tool over the stable sibling.

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