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

Beyond the annotations, the description discloses critical behavioral traits: candidate improvements are enabled live only when under test, no candidate is currently active, its behavior is currently identical to ask_pipeworx, and it does not fall back to another tool—it is a full working router. This gives the agent an accurate model of what to expect now and later.

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 mostly efficient and front-loaded, with the primary identity stated first. Each sentence adds information about the beta status, live candidate behavior, usage guidance, and fallback behavior. Minor redundancy exists between "currently matches ask_pipeworx exactly" and "Use it exactly like ask_pipeworx," but overall the structure is tight.

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?

The description is complete enough for an experimental alias of an existing tool: it explains the beta nature, the current no-active-candidate state, the identical argument/response shape, and the comparison workflow. It does not independently document the underlying router's full behavior or response shape, but that is reasonably anchored through its reference to ask_pipeworx.

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 schema already provides 100% coverage for all six parameters, including aliases and the primary `question` description. The description adds no additional parameter-level semantics; it only states that arguments are identical to ask_pipeworx, which is useful context but not needed to understand the parameters themselves.

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 frames the tool as a beta variant of ask_pipeworx and concretely defines it as a universal router with the same 5,743 tools, arguments, and response shape. It clearly differentiates this tool from the stable ask_pipeworx by emphasizing the experimental edge and the live candidate routing mechanism.

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 explicitly instructs when to use this tool: "Use it exactly like ask_pipeworx when you want the newest routing." It also clarifies the current state (no active candidate) and contrasts with the stable router, giving the agent a clear decision rule for selection.

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