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Ask Pipeworx Beta

ask_pipeworx_beta
Read-onlyIdempotent

Beta version of ask_pipeworx: identical universal router (same 5,735 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

A4.4/5.0
Behavior5/5

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

Beyond the read-only, idempotent, non-destructive annotations, the description adds valuable behavioral context: the tool is a fully working router with no fallback, candidate improvements are only active during tests, and the current state has no active candidate. This prevents an agent from assuming it is a stub or a wrapper that delegates elsewhere.

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 efficiently structured and front-loads the beta identity and equivalence to ask_pipeworx. There is mild repetition between 'identical' and 'currently matches ask_pipeworx exactly,' but each sentence adds meaningful operational detail: current candidate status, usage guidance, and the no-fallback guarantee.

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

Completeness5/5

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

For an experimental router with a single natural-language question parameter, the description is complete: it explains what the tool is, how it relates to the stable sibling, when to use it, its current live state, and that it retains the same response shape. No output schema is present, but the reference to ask_pipeworx's response shape covers return expectations.

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?

The input schema already documents the required 'question' parameter and all five aliases with 100% coverage, so the description does not need to explain parameter semantics. The description only says 'same arguments' as ask_pipeworx, which adds no extra meaning beyond what the schema provides.

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

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies this as the beta/experimental version of ask_pipeworx, a universal router with the same 5,724 tools, arguments, and response shape. It distinguishes itself from the stable ask_pipeworx sibling by its candidate routing improvements, so an agent can select it without ambiguity.

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 to use it exactly like ask_pipeworx when the newest routing is desired, and clarifies that it currently matches ask_pipeworx exactly since no candidate is active. It could be stronger by explicitly naming the stable alternative as the choice when experimental routing is not wanted, but the guidance is clear enough for this variant.

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

A3.9/5.0
Disambiguation2/5

The ask_pipeworx/ask_pipeworx_beta/ask_pipeworx_grounded/deep_research cluster is highly overlapping—beta is explicitly identical right now and grounded differs mainly in answer extraction. Several other pairs (ai_visibility_check vs scan_competitor_ai_presence, and the six prediction-market tools) also blur boundaries, making misselection likely.

Naming Consistency3/5

Names are uniformly snake_case and benefit from clear prefixes (ask_pipeworx_, kcmo_, polymarket_, pipeworx_). However, conventions are mixed between bare verbs (forget, recall, remember), noun phrases (entity_profile, polymarket_edges, recent_alerts), and verb_noun forms, and similar names like polymarket_edges vs polymarket_edge_tracker add confusion.

Tool Count2/5

34 tools is well into the bloat range, and only 3 are actually Kansas City-specific despite the server name. The surface bundles prediction markets, memory, feedback, llms.txt generation, and npm scanning alongside data lookup, making it heavy and unfocused; several meta-tools could be collapsed.

Completeness4/5

As a read-only data research platform, the surface is quite complete: discovery, querying, grounded answers, entity resolution, profiles, comparisons, claim verification, subscriptions, and memory are all covered with few dead ends. Minor gaps exist—no subscription update, no direct citation-URI fetch tool, and a thin KC-specific set—but agents can work around them.