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Ask Pipeworx Beta

ask_pipeworx_beta
Read-onlyIdempotent

Beta version of ask_pipeworx: identical universal router (same 5,738 tools, same arguments, same response shape) with candidate routing improvements enabled live whenever one is under test. No candidate is active right now (the last was retired on outcome evidence 2026-07-26), so this currently matches ask_pipeworx exactly. Use it exactly like ask_pipeworx when you want the newest routing; results are compared against the stable router to decide what merges. Falls back to nothing — this IS a full working router, just the experimental edge.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoAlias for question.
textNoAlias for question.
inputNoAlias for question.
queryNoAlias for question.
promptNoAlias for question.
questionYesYour question or request in natural language. Accepts query, q, prompt, text, input as aliases.

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds meaningful context beyond this: it is a beta with candidate routing improvements that may be enabled live, current state is identical to ask_pipeworx, and it is a full working router rather than a fallback. This directly addresses potential uncertainty about experimental behavior. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is moderately long but each sentence contributes: it identifies the tool, clarifies the current state (no active candidate), gives usage guidance, and reassures about full functionality. The key point 'identical universal router' is front-loaded. The date reference is specific and informative. It is not overly verbose given the complexity of a beta router.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers what the tool is and when to use it, but it omits details about the response shape and any limitations (e.g., request size, rate limits). It references 'same response shape' but does not describe it, relying on the sibling ask_pipeworx to provide that. For a tool that routes across 5,724 tools, the absence of any output format specifics is a gap, though not critical for deciding whether to call it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% (all parameters described in the schema). The description reinforces that the parameter is 'Your question or request in natural language' and lists the aliases. This mirrors the schema but does not add substantially new information beyond a usage hint that it is natural-language input. Baseline of 3 is appropriate since the schema already documents the parameters thoroughly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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 states it is an 'identical universal router (same 5,724 tools, same arguments, same response shape)'. This establishes a specific purpose: a question-answering router with experimental routing improvements. It also distinguishes itself from the sibling 'ask_pipeworx' by noting it is the beta/experimental edge, so an agent can tell it apart.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use it exactly like ask_pipeworx when you want the newest routing', providing a clear usage trigger and referencing the primary alternative. It also notes that results are compared against the stable router, implying that for stable results one should use the non-beta version. The phrase 'Falls back to nothing' clarifies it is a full router, not a wrapper that delegates. This gives solid guidance without explicit exclusions.

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

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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have distinct purposes, but some overlap exists between ask_pipeworx, ask_pipeworx_grounded, deep_research, and validate_claim, which could cause confusion. However, the descriptions help clarify when to use each.

Naming Consistency3/5

Tool names use a mix of patterns (verb_noun, noun_noun, adjective_noun) but are consistently lowercase with underscores. Some names are vague like 'forever' and 'recent_alerts', but overall readable.

Tool Count3/5

32 tools is on the high side for a single server, but many are specialized and serve a broad data query platform. Some tools are meta-tools covering multiple use cases, which could reduce the need for so many.

Completeness4/5

The tool set covers a wide range of functionalities including data querying, entity resolution, comparisons, verification, memory, subscriptions, and prediction markets. Minor gaps like data export are not critical for its purpose.