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

The description goes well beyond the annotations by revealing that the tool is an experimental live-testing variant with no active candidate currently, making it match ask_pipeworx exactly. It discloses that it 'falls back to nothing' and is a full working router, plus how results are used for merging decisions. There is no contradiction with the readOnly, idempotent, openWorld 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 composed of four information-dense sentences, with the beta status and relationship to ask_pipeworx front-loaded. A small redundancy exists in re-listing 'same 5,743 tools, same arguments, same response shape' after 'identical,' but every sentence contributes behavioral or usage context.

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 completely explains the experimental status, current behavior, and usage context, which is sufficient given the annotations. The only minor gap is that it references 'same response shape' rather than describing the actual response format, but since this tool is explicitly a beta clone of a known sibling, this is a modest incompleteness.

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% and the schema fully documents the 'question' parameter and its five aliases. The description only repeats 'same arguments' without adding parameter-level semantics. Baseline 3 is appropriate since the schema already carries the meaning.

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 'Beta version of ask_pipeworx' and explicitly frames it as a 'universal router' with the same 5,743 tools, arguments, and response shape. It distinguishes itself from the stable ask_pipeworx by highlighting experimental routing improvements, so an agent can tell them apart.

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 an explicit usage directive: 'Use it exactly like ask_pipeworx when you want the newest routing.' It also explains the evaluation context (results compared against the stable router) and clarifies that it remains a fully functional router, not a stubbed fallback, which removes ambiguity about when it is valid to call.

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