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Ask Pipeworx Beta

ask_pipeworx_beta
Read-onlyIdempotent

Beta version of ask_pipeworx: identical universal router (same 5,718 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

A4.1/5.0
Behavior5/5

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

The annotations already indicate a read-only, idempotent, non-destructive operation, so the bar for description value is lower. The description adds genuinely useful behavioral context beyond those annotations: it is a live experimental edge router, candidate improvements are enabled whenever under test, none are currently active, and it is a full working router rather than a partial fallback. It clearly explains the current state and potential future variation without contradicting the 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 somewhat detailed, listing 5,718 tools and the 2026-07-26 retirement date, but every sentence contributes to the core point that this is a live beta clone of ask_pipeworx. It is front-loaded with the essential identity and then supplements with current status and usage guidance. A slightly shorter version would be possible, but the structure is efficient and purposeful.

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?

Given that the tool is a beta variant of a sibling, the description adequately covers the current state, the relationship to ask_pipeworx, and the fact that it is fully functional. Since there is no output schema, the callback to ask_pipeworx's same response shape provides enough return-value guidance. The description could mention what kind of questions the router handles, but the universal-router framing makes that reasonably inferable.

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 description coverage is 100%, so the schema already documents the parameters and their aliases. The description does not add per-parameter semantic detail, only the general statement that it uses the same arguments as ask_pipeworx, which is useful context but not a substitute for parameter-level meaning.

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 names the resource (ask_pipeworx) and the verb (ask) while making clear this is the beta variant of the same universal router. It identifies the tool as a full working router with identical tools, arguments, and response shape, which distinguishes it from the stable ask_pipeworx and ask_pipeworx_grounded siblings. It could be more explicit about what the question parameter is used for, but the core purpose is clear.

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 tells the agent to use it exactly like ask_pipeworx when wanting the newest routing, and explains that the current behavior matches the stable router exactly because no candidate is active. This gives a clear condition for choosing it over the stable sibling, though it does not explicitly say when to avoid using it.

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

A3.8/5.0
Disambiguation3/5

Several tool groups have overlapping purposes (e.g., ask_pipeworx, ask_pipeworx_grounded, deep_research all query Pipeworx data; polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker all analyze prediction markets). Descriptions help distinguish them, but the boundaries are not always clear.

Naming Consistency3/5

Tool names are mostly descriptive but mix conventions: some are verb_noun (list_subscriptions, get_prizes_by_year), others are noun_verb (pipeworx_feedback, polymarket_edges), and a few are single verbs (remember, recall). No strong pattern, but still readable.

Tool Count4/5

With 32 tools, the server covers a wide range of domains (data querying, prediction markets, company analysis, Nobel prizes, memory, subscriptions). The count is high but each tool serves a specific purpose, justifying the breadth.

Completeness4/5

The tool set provides comprehensive coverage for its stated domains: data retrieval, entity resolution, comparison, monitoring, and memory. Minor gaps exist (e.g., no direct bet placement on Polymarket), but core workflows are well-supported.