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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

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, covering safety. The description adds valuable context: experimental routing improvements, current state with no active candidate, and that it is a full working router with no fallback. This goes beyond the annotations without contradicting them.

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

Conciseness3/5

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

The description is somewhat verbose, with repetition like 'identical universal router' and 'same ... same ... same'. It front-loads key info but includes transient details about the last retired candidate that could be trimmed. Structure is logical but not optimally concise.

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 it directly references ask_pipeworx for full details and annotations cover safety, the description provides sufficient context on usage and experimental status. It does not describe the output format, but it explicitly states the response shape is identical to ask_pipeworx, making it complete enough for correct invocation.

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 all aliases documented. The description only says 'same arguments' without adding any new semantic meaning, so it does not improve upon the schema. Baseline 3 is appropriate.

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 states it is a beta version of ask_pipeworx, an identical universal router with the same 5,743 tools, arguments, and response shape. This distinguishes it from the sibling ask_pipeworx by emphasizing experimental routing improvements while making its core function explicit.

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?

It explicitly says to use it exactly like ask_pipeworx when you want the newest routing, and notes results are compared against the stable router. This gives a clear usage condition and implies the stable alternative (ask_pipeworx), though it does not explicitly state when not to use 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

A3.9/5.0
Disambiguation2/5

The set contains multiple near-duplicate entry points: ask_pipeworx, ask_pipeworx_beta (explicitly identical right now), and ask_pipeworx_grounded overlap heavily, while deep_research, discover_tools, and suggest_questions all claim to be the 'call this first' tool. Also, ai_visibility_check vs scan_competitor_ai_presence and the five polymarket_* tools create boundaries an agent could easily mischoose.

Naming Consistency4/5

Most tools follow a clear snake_case verb_noun pattern (compare_entities, validate_claim, unsubscribe, search_within). Minor deviations exist — chaos_index_calculate puts the verb last, entity_profile is noun-only, and the pipeworx_ prefix is applied inconsistently (pipeworx_trending vs ask_pipeworx) — but the overall style is predictable.

Tool Count2/5

32 tools is too many for a coherent single-purpose server; the set spans data routing, prediction markets, subscriptions, memory, AI visibility, npm scanning, and llms.txt generation. It reads as a bundled suite of unrelated utilities rather than a focused tool surface.

Completeness3/5

Subdomains are individually fairly complete: subscription CRUD, memory CRUD, and the prediction-market workflow (research, edges, arbitrage, fill risk, tracking) are all covered. However, the overall domain is incoherent, and gaps exist such as no update-subscription operation and no way to modify an existing memory beyond overwriting via remember.