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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

A4.3/5.0
Behavior5/5

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

Beyond the annotations (readOnly, openWorld, idempotent, non-destructive), the description discloses valuable behavioral context: candidate routing improvements are enabled live when under test, no candidate is currently active, it currently matches ask_pipeworx exactly, results are compared to the stable router, and it falls back to nothing as a full working router. This is exemplary transparency about experimental and mutable behavior.

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 slightly longer than average but every sentence earns its place: purpose/status, current behavior, usage guidance, and fallback explanation. It front-loades the core identity and keeps the experimental nuance clear without unnecessary filler.

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 beta router with no output schema, the description covers purpose, current parity, usage, experimental nature, and fallback behavior. It relies on ask_pipeworx for output shape details and doesn't distinguish from ask_pipeworx_grounded, but the core information an agent needs to invoke and interpret the tool is present.

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% and all six parameters are aliases for the same question concept, so the input schema already documents parameter semantics thoroughly. The description adds only 'same arguments' as ask_pipeworx, which is useful but does not go beyond what the schema provides.

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 identifies this as a beta version of ask_pipeworx and specifies it is an identical universal router with the same 5,743 tools, same arguments, and same response shape. It differentiates itself from the stable ask_pipeworx sibling by its experimental routing improvements, so an agent knows exactly what the tool is and how it differs.

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 says to use it exactly like ask_pipeworx when you want the newest routing, and references the stable router as the comparison baseline. This gives clear when-to-use context, though it does not explicitly state when not to use it or directly name ask_pipeworx_grounded as an alternative.

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 families overlap heavily: ask_pipeworx and ask_pipeworx_beta are functionally identical today, and the polymarket_edges/arbitrage/fill_risk/kalshi_spread family plus entity_profile/recent_changes/compare_entities cover adjacent jobs. The descriptions are detailed enough to separate them with careful reading, but an agent could easily select the wrong one without deep inspection.

Naming Consistency3/5

The set has recognizable prefixes like ecos_, ask_pipeworx, and polymarket_, but it also mixes verb_noun names (validate_claim, discover_tools), bare verbs (remember, forget, recall), reversed/gerund forms (bet_research, pipeworx_trending), and special tokens (generate_llms_txt). The naming is readable on a per-family basis but not predictable across the full surface.

Tool Count2/5

35 tools is above the comfortable range for a coherent tool set, and several entries are near-duplicates or wrappers: ask_pipeworx_beta is currently identical to ask_pipeworx, and scan_competitor_ai_presence wraps ai_visibility_check. The prediction-market and company-research families could be consolidated without losing capability.

Completeness4/5

For the server's broad scope, lifecycle coverage is strong: ECOS has search/items/get/indicators, subscriptions have create/list/read/cancel, memory has save/read/delete, and the data-research surface covers lookup, grounded verification, comparison, profiles, changes, and discovery. Minor gaps exist, such as no direct tool to fetch a pipeworx:// record by URI or execute a single catalog tool directly, but these are workable.