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

Annotations already cover read-only, open-world, idempotent, and non-destructive behavior. The description adds valuable behavioral context beyond annotations: it is an experimental edge, no candidate is currently active, it currently matches ask_pipeworx exactly, and it does not fall back to anything—it is a full working router. This is transparent and does not contradict the 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 compact and front-loaded with the essential identity ('Beta version of ask_pipeworx') and usage guidance. There is minor redundancy between 'identical universal router' and 'currently matches ask_pipeworx exactly,' but overall every sentence contributes useful context and there is no filler.

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?

Given no output schema, the description helpfully states that the response shape is identical to ask_pipeworx, and it fully explains the current experimental state, the absence of an active candidate, and the absence of fallback behavior. It is complete enough for an agent to decide when to use it, though it relies on knowing ask_pipeworx's response shape rather than spelling it out.

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 coverage is 100%, and all parameters are documented as aliases for the single required 'question' parameter. The description adds only that it accepts the same arguments as ask_pipeworx, which is useful but does not provide any additional parameter-level meaning beyond the schema.

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 this as the beta version of ask_pipeworx, an identical universal router accepting the same arguments and returning the same response shape. It distinguishes the tool's experimental routing intent from the stable sibling, though the primary operation remains general ('ask a question') rather than a more specialized verb.

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 says to use it exactly like ask_pipeworx when you want the newest routing, and explains that results are compared against the stable router. This gives clear context, but it does not explicitly state when NOT to use it, such as preferring the stable ask_pipeworx for production purposes or ask_pipeworx_grounded for grounded answers.

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