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Ask Pipeworx Beta

ask_pipeworx_beta
Read-onlyIdempotent

Beta version of ask_pipeworx: identical universal router (same 5,724 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

A3.5/5.0
Behavior4/5

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

The annotations (readOnlyHint, openWorldHint, idempotentHint, destructiveHint) already cover safety and idempotency. The description adds valuable behavioral context: it is a beta with candidate routing improvements that may be active, currently matches ask_pipeworx exactly, and is a full working router (not a fallback). It discloses the experimental edge and the comparison process, which goes beyond what annotations provide. No contradictions.

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 four sentences, each earning its place: what it is, current state, usage instruction, and clarification that it's a full router. It front-loads the key identifier 'Beta version of ask_pipeworx' and avoids fluff. Slightly longer than necessary for a simple tool, but the experimental nature warrants some detail, so it remains efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This tool has no output schema and a complex role (routing across 5,724 tools), yet the description does not stand alone. It relies on knowledge of ask_pipeworx for arguments, response shape, and what 'universal router' means. It does not describe any return format, acceptable question types, or how routing works. While it says 'identical' to ask_pipeworx, an agent encountering this definition without ask_pipeworx's description would be under-informed. Thus, it is incomplete for a tool of this complexity.

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%: the schema thoroughly documents the 'question' parameter and its five aliases (q, text, input, query, prompt). The description only adds 'same arguments' (as ask_pipeworx), which is a reference rather than new semantics. Since the schema handles parameter meaning, the baseline of 3 is appropriate; the description doesn't add much value here.

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 clearly states this is a beta version of ask_pipeworx, an identical universal router with the same 5,724 tools and response shape. It distinguishes from the stable ask_pipeworx by calling out its experimental nature, and the sibling list includes ask_pipeworx and ask_pipeworx_grounded, so the purpose is clear. However, it doesn't explicitly differentiate from ask_pipeworx_grounded (which likely differs in grounding behavior), so it's not a full 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Use it exactly like ask_pipeworx when you want the newest routing', which gives a clear when-to-use condition. It also explains that results are compared against the stable router, implying this is for testing. However, it does not mention when not to use it (e.g., for grounded or production needs) or mention alternatives like ask_pipeworx_grounded. Thus, it provides clear context but no exclusions.

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

A3.6/5.0
Disambiguation2/5

Many tools have overlapping purposes, especially the pipeworx family (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research) which all route to the same data sources. Additionally, the server includes unrelated meta-tools (remember/recall/forget, generate_llms_txt, pipeworx_feedback) that have no clear boundaries with the poverty data tools, and betting tools that seem out of place. The core poverty tools (get_poverty, get_poverty_regional, list_reference) are distinct, but the rest creates significant confusion.

Naming Consistency2/5

Tool names are a mix of styles: some use snake_case (get_poverty, list_reference, suggest_questions), some use camelCase (ask_pipeworx, bet_research, scan_competitor_ai_presence), and others are single words (recall, remember, forget, subscribe). The naming pattern is highly inconsistent, making it hard to predict related tool names.

Tool Count2/5

With 34 tools, this server is heavily overloaded for a 'Worldbank Poverty' server. The majority of tools are unrelated to poverty (Polymarket betting, AI marketing, npm package checks, LLM visibility). The core poverty functionality could be served by 3-5 tools, but instead the server includes dozens of extra tools from a generic data platform, making the count inappropriate for the stated domain.

Completeness4/5

For the poverty data domain, the tool surface is actually quite complete: get_poverty for country-level data, get_poverty_regional for aggregations, and list_reference for metadata. The only minor gap is a lack of a tool for comparing poverty across countries directly, but that is easy to work around by calling get_poverty multiple times. The extra meta-tools do not affect poverty data completeness.