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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

A4.2/5.0
Behavior4/5

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

Beyond the readOnly/idempotent annotations, the description discloses the experimental status, live candidate routing changes, and the assurance that it 'Falls back to nothing — this IS a full working router.' It also explains that results are compared with the stable router to decide merges, which is useful behavioral context. It does not discuss latency, logging, or response details, but it covers the essential beta-specific traits.

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?

The description front-loads the core identity and uses each sentence for a distinct purpose: definition, current status, usage guidance, and assurance about being a full router. Despite including a specific date and tool count, nothing is wasted or redundant. It is dense but appropriately sized for a beta tool with a live-state caveat.

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 what the tool is, how to invoke it, when to prefer it, and its current behavior matching stable ask_pipeworx. It references the same response shape as ask_pipeworx rather than independently spelling out return-value details, but given the simple one-required-argument interface and no output schema, an agent has enough to call and use it correctly. It could be more self-contained, but it is not materially incomplete.

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 question and five aliases at 100% coverage, so the description doesn't need to restate them. The phrase 'same arguments' references ask_pipeworx but adds no parameter-level meaning beyond what the schema provides. This is the baseline case where the schema carries the 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 by identifying the tool as the beta version of ask_pipeworx and an 'identical universal router' with the same tools, arguments, and response shape, which clearly distinguishes it from the stable sibling. It frames the role as the experimental edge of the same routing capability rather than a separate operation. This is specific enough for an agent to know exactly what the tool does and how it relates to ask_pipeworx.

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 says to 'Use it exactly like ask_pipeworx when you want the newest routing' and explains that results are compared against the stable router. It also notes that no candidate is currently active, so the tool 'currently matches ask_pipeworx exactly,' giving a clear current-usage condition. It does not spell out a formal when-not scenario or contrast with ask_pipeworx_grounded, but the key alternative and trigger are explicit.

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
Disambiguation2/5

Several clusters of near-duplicates force careful reading: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded overlap heavily; the five polymarket tools share edge-detection and arbitrage territory; and ai_visibility_check vs scan_competitor_ai_presence are easy to confuse. discover_tools, suggest_questions, and pipeworx_trending also compete as discovery/onboarding entry points.

Naming Consistency3/5

All names are lowercase snake_case, so there is surface consistency, but the structural pattern is mixed: verb_noun (list_feeds, read_feed, resolve_entity), noun_verb (ai_visibility_check), noun_noun (entity_profile, polymarket_fill_risk), and bare verbs (remember, forget). Prefixes like ask_pipeworx and polymarket create local order, but no server-wide naming convention holds.

Tool Count2/5

34 tools for a server named 'Gaming Feeds' is heavily over-scoped; only list_feeds, read_feed, and fetch_feed actually serve that purpose. The remaining ~25 tools constitute an unrelated Pipeworx data platform covering queries, prediction markets, memory, subscriptions, and feedback, making the count feel like a bundled mega-server rather than a focused toolset.

Completeness3/5

For the nominal gaming-feed domain, list/read/fetch plus keyword filtering covers basic consumption, but there is no cross-feed search, feed management, or feed-specific subscription support (subscribe only handles SEC, Polymarket, and FRED streams). The broader data/research surface is comprehensive internally, but that completeness belongs to a different server's purpose.