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Ask Pipeworx Beta

ask_pipeworx_beta
Read-onlyIdempotent

Beta version of ask_pipeworx: identical universal router (same 5,798 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.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable context beyond that: the tool is a full working router that falls back to nothing, its behavior may differ from stable when a candidate is under test, and it currently matches ask_pipeworx exactly. The experimental-variance disclosure is genuinely useful and does not contradict any annotation.

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 front-loaded with the identity ('Beta version of ask_pipeworx'), followed by current state, usage guidance, and the stability caveat in logical order. It is slightly verbose with hyper-specific details (5,798 tools, retirement date 2026-07-26) that add authenticity but could be trimmed. Every sentence contributes, and the final clarification that this is a full working router earns its place.

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?

There is no output schema, but the description says 'same response shape' as ask_pipeworx, inheriting the return contract from the sibling. It covers the tool's identity, current equivalence, experimental caveat, and no-fallback guarantee. A plain-language statement of what the router actually returns would help agents unfamiliar with ask_pipeworx, but for a beta twin whose full spec is inherited, the coverage is strong.

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%, so the schema documents all parameters (q, text, input as aliases for the required question field), establishing the baseline of 3. The description adds 'same arguments' as ask_pipeworx, which transfers knowledge from the sibling's schema, but does not add semantic detail about what 'question' should contain or how it is routed. This is adequate but not compensatory.

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 specific identity and scope: 'Beta version of ask_pipeworx: identical universal router...' with the same 5,798 tools, arguments, and response shape. It directly differentiates itself from the stable sibling by naming ask_pipeworx and clarifying it is the experimental edge, so an agent can distinguish it from ask_pipeworx and ask_pipeworx_grounded.

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?

Explicit guidance is given: 'Use it exactly like ask_pipeworx when you want the newest routing.' This states the condition for selecting this tool over the stable router, and the comparison/merge workflow is described. It does not enumerate exclusions for other siblings (e.g., grounded variant), but the beta-vs-stable decision is the core routing question and it is answered clearly.

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

Multiple tool clusters overlap heavily: three ask_pipeworx variants, five polymarket_* tools, and two AI-visibility tools (ai_visibility_check vs scan_competitor_ai_presence) could easily be misselected. While descriptions are detailed, the boundaries between search/research/bet/compare tools are blurry enough to cause agent confusion.

Naming Consistency4/5

Tool names follow a consistent lowercase snake_case pattern, and most use a verb-first or noun-based descriptive style (ask_pipeworx, bet_research, entity_profile, validate_claim). Minor deviations like deep_research or process_v2 are absent here; the set is largely predictable and readable.

Tool Count2/5

At 32 tools, the server exceeds the 25-tool threshold for heaviness. Many tools are edge-case variants or meta-features (pipeworx_feedback, pipeworx_trending, suggest_questions) that could be consolidated. The server's stated identity as 'Victorian Complaint' also clashes with this scale, making the count feel excessive for the apparent core purpose.

Completeness4/5

The tool set provides broad coverage for data research, entity resolution, comparison, memory, subscriptions, and prediction-market analysis. It supports query, research, discover, validate, and monitor workflows with few dead ends. Minor gaps like a generic 'get_entity' or direct data-writing tools exist, but they are not core to the implied domain.