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

The description adds meaningful behavioral context beyond the annotations: it is a live experimental router, may change whenever a candidate is under test, currently matches ask_pipeworx exactly, and is a full working router rather than a fallback. This is useful transparency and does not contradict the read-only, open-world, idempotent, non-destructive annotations.

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 front-loaded with the key relationship to ask_pipeworx and is dense but not bloated. Details like the tool count, last retirement date, and no-fallback clarification earn their place, though a shorter version could have conveyed the core usage equally well.

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?

For an experimental alias of an existing tool, the description covers identity, current state, usage timing, and behavioral expectations. It relies on ask_pipeworx for some functional context, but since that sibling exists in the tool set and the schema covers parameters, the description is sufficiently complete for selecting and invoking this beta variant.

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 schema already documents the question parameter and its aliases. The description adds no parameter-specific detail, only referring to 'same arguments' as ask_pipeworx. This meets the baseline but does not elevate parameter understanding.

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 identifies the tool as a beta version of ask_pipeworx, a universal router with the same tools, arguments, and response shape. It distinguishes itself from the stable ask_pipeworx sibling as the experimental edge. It does not fully define the ordinary ask_pipeworx behavior in isolation, which keeps it a step below 5.

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 says to use this tool exactly like ask_pipeworx when the newest routing behavior is desired, and states that results are compared against the stable router. This gives clear context and names the alternative, though it does not explicitly describe when not to use it beyond the beta framing.

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