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

The description adds meaningful behavioral context beyond the annotations: it explains that candidate routing improvements are enabled live only when under test, that none is active right now, and that the tool currently matches ask_pipeworx exactly. It explicitly states the tool is a full working router rather than a fallback placeholder. This goes well beyond the readOnly/idempotent/destructive annotations and helps the agent understand runtime variability.

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 informative and front-loaded, immediately identifying the tool as the beta version of ask_pipeworx. It contains some redundancy, such as repeating 'identical,' 'same 5,798 tools, same arguments, same response shape,' and 'currently matches ask_pipeworx exactly,' but each sentence contributes to clarifying experimental status and usage. Reasonably concise given the complexity of the tool.

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 a complex universal router, the description does a good job of explaining current behavior, parity with the stable version, and experimental purpose. There is no output schema, but the description states that the response shape is identical to ask_pipeworx, which routes the agent to a known reference. It is sufficiently complete for safe and correct invocation.

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 input schema already documents all parameters. The description references 'same arguments' and directs agents to use it like ask_pipeworx, which is useful but does not add meaning beyond the schema. Baseline 3 is appropriate since the schema carries the parameter documentation burden.

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 with the same 5,798 tools, arguments, and response shape. It distinguishes itself from the stable sibling by emphasizing live candidate routing improvements and current parity with ask_pipeworx. This is specific, actionable, and alerts the agent to the experimental nature of the tool.

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 tells the agent to use it exactly like ask_pipeworx when it wants the newest routing. It also explains that with no candidate currently active, behavior currently matches the stable router exactly. It does not spell out explicit 'do not use when' conditions, but the experimental-edge framing and comparison-to-stable-router context provide sufficient guidance.

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