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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

A4.3/5.0
Behavior5/5

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint, so the bar is lower, but the description adds critical behavioral context annotations cannot express: 'candidate routing improvements enabled live whenever one is under test', the current inactive state, and the retirement date (2026-07-26). It also discloses that results are compared against the stable router, and reassures that this 'IS a full working router' — genuinely valuable beyond the hints.

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?

Five sentences, each earning its place: identity, current state, usage, comparison purpose, and functionality reassurance. The core fact ('Beta version of ask_pipeworx... identical universal router') is front-loaded. It is slightly longer than strictly necessary, with the specific date (2026-07-26) being a nice-to-have detail rather than essential.

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?

For a complex universal router with no output schema, the description covers identity, live operational state, usage guidance, and functionality, while relying on 'same response shape' to defer format details to the stable sibling knowledge. It does not describe error behavior or failure modes of the experimental edge, but that is a minor omission given how thoroughly it handles the beta-versus-stable nuance.

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%, with every property documented as an alias for 'question', so the schema carries the parameter burden. The description adds only that this tool takes 'same arguments' as ask_pipeworx, which is mild context but doesn't deepen semantics beyond 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 states a clear identity and function: 'Beta version of ask_pipeworx: identical universal router (same 5,718 tools, same arguments, same response shape)'. It uses a specific verb/resource framing, positions itself relative to the stable ask_pipeworx sibling, and even distinguishes from ask_pipeworx_grounded by naming the exact relationship to the stable variant.

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 gives explicit usage direction: 'Use it exactly like ask_pipeworx when you want the newest routing', naming the sibling alternative and the condition that selects it. It also clarifies the tool is fully functional with no fallback needed. However, it never explicitly states when NOT to use it (e.g., when production stability is preferred over the 'experimental edge'), leaving that to inference.

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

A3.7/5.0
Disambiguation3/5

Several clusters overlap heavily: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all serve question-answering/research, and the six polymarket_* tools cover closely related prediction-market analysis. Long descriptions help differentiate them, but an agent could easily pick the wrong near-duplicate.

Naming Consistency3/5

All names are snake_case and readable, but there is no consistent verb_noun pattern: some are verbs (search_pairs, validate_claim), some noun phrases (latest_token_profiles, entity_profile), and some prefixes (pipeworx_*, polymarket_*) cover only subsets. The naming is understandable but stylistically mixed.

Tool Count2/5

37 tools is far too many for a server labeled Dexscreener, especially since the majority of tools have nothing to do with DEX data. Even if this is intended as an all-in-one data/research server, the count exceeds what the apparent scope justifies and many tools feel bolted on.

Completeness4/5

For the DEX Screener domain, the core surface is covered: pair lookup, token lookup, search, latest profiles, and boosts. The broader Pipeworx/prediction-market side also has strong coverage with memory, subscriptions, entity resolution, and research tools. Minor gaps exist — some tools feel redundant or exploratory — but there are no critical dead-end workflows.