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

Adds meaningful behavioral context beyond the annotations: it is a live experimental variant, may differ only while a candidate is under test, and is a fully functional router with no fallback. These details are valuable because they clarify what 'beta' actually means operationally.

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 somewhat long but every sentence earns its place: it explains the beta nature, identity with ask_pipeworx, current no-candidate state, usage intent, comparison purpose, and non-fallback guarantee. The key distinguishing information is front-loaded.

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 tool is fully described for selection and invocation: same arguments as ask_pipeworx, same response shape, and current equivalence to the stable version. Minor gaps like a concrete response example are mitigated by the reference to ask_pipeworx's established behavior.

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%, with descriptions for all parameters including aliases. The description adds no new parameter-specific meaning, but that is acceptable because the schema already documents semantics fully.

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?

Description states a clear purpose: a beta version of ask_pipeworx with the same universal routing surface, differing only by experimental routing improvements. It explicitly names ask_pipeworx and distinguishes itself as the experimental edge, so an agent can tell it apart from siblings.

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?

Gives explicit when-to-use guidance: use exactly like ask_pipeworx when you want the newest routing. It also clarifies the current state (no active candidate, so matches ask_pipeworx exactly) and notes that results are compared against the stable router, which helps set expectations.

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