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Ask Pipeworx Beta

ask_pipeworx_beta
Read-onlyIdempotent

Beta version of ask_pipeworx: identical universal router (same 5,743 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
Behavior4/5

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

Beyond the annotations (readOnlyHint, openWorldHint, idempotentHint, destructiveHint), the description discloses dynamic behavior: candidate routing improvements can be 'enabled live' and that results are compared against the stable router to decide merges. It also reveals the current inactive-candidate state with a retirement date, which is valuable context. It does not explain what a routing improvement concretely changes, but the experimental/production-equivalent distinction is well covered.

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

Conciseness5/5

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

Four sentences, each earning its place: definition of the beta, current status with evidence, explicit usage directive, and a no-fallback clarification. The information is front-loaded and avoids repetition. There is no filler or redundant restatement of the schema or annotations.

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

Completeness4/5

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

The description covers the tool's identity, current parity with ask_pipeworx, usage instruction, and experimental nature. Although no output schema exists, the description's 'same response shape' remark ties to the stable sibling, and the annotations cover safety and openness. Missing details like what a routing change actually affects are minor given the description's clarity.

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%, with the input schema fully documenting 'question' and all five aliases (q, text, input, query, prompt) as equivalents. The description says 'same arguments' but adds no meaning beyond the schema. Per the baseline for high schema coverage, 3 is appropriate because the schema carries the parameter-semantic burden.

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 opens with 'Beta version of ask_pipeworx: identical universal router' and immediately specifies it routes to the same 5,724 tools with the same arguments and response shape. It clearly distinguishes itself from the sibling ask_pipeworx as the experimental edge, while noting it currently matches ask_pipeworx exactly. The verb-resource relationship is explicit and unambiguous.

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

Usage Guidelines5/5

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

The description states 'Use it exactly like ask_pipeworx when you want the newest routing,' giving an explicit condition for selection. It also clarifies 'No candidate is active right now... so this currently matches ask_pipeworx exactly' and 'Falls back to nothing — this IS a full working router,' which prevents the agent from thinking it needs a fallback. Alternatives and exclusions are handled implicitly but clearly through the contrast with the stable router.

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

A3.6/5.0
Disambiguation2/5

Multiple tools have overlapping purposes: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are near-identical in scope, and the prediction-market tools (bet_research, polymarket_edges, polymarket_arbitrage, polymarket_fill_risk) share similar functions. While some tools are distinct, the boundaries between many are unclear.

Naming Consistency2/5

Names mix product-like identifiers (ask_pipeworx, deep_research), descriptive nouns (entity_profile, subjects), and inconsistent verb forms (query_table, resolve_entity, scan_competitor_ai_presence). No consistent verb_noun pattern is maintained across the set.

Tool Count2/5

With 34 tools, the server is overpopulated relative to its apparent purpose. The name 'Statbank Md' suggests a narrow statistical service, but only 3 tools are Statbank-specific; the rest form a sprawling general-purpose data toolkit. The count is far beyond what the core function needs.

Completeness3/5

For the Statbank subset, the surface is complete (browse subjects, get metadata, query data). As a general data research suite, it covers many domains (SEC, FDA, economics, prediction markets) but lacks execution/trading tools for prediction markets and has no bulk data export or analytics beyond excerpts. Notable gaps exist but many core workflows are covered.