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Ask Pipeworx Beta

ask_pipeworx_beta
Read-onlyIdempotent

Beta version of ask_pipeworx: identical universal router (same 5,801 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

A4.3/5.0
Behavior5/5

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

Beyond the annotations, the description discloses crucial runtime behavior: candidate routing improvements may be live, none are active as of a specific date, the tool currently matches ask_pipeworx exactly, and it does not fall back to anything—it is a full working router. This is exactly the kind of behavioral nuance that annotations cannot express.

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: first tells what the tool is, then how to use it, then the no-fallback behavior. Some operational detail like the exact retirement date adds a slightly temporal that could go stale, but it is still placed efficiently and 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?

For a one-parameter read-only tool with no output schema, the description is largely complete: it covers the experimental nature, current parity with the stable router, and how to invoke it. It relies on ask_pipeworx as the reference point for domain behavior, but since that is a visible sibling, the agent has enough context.

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%, so the input schema already fully documents the one required question parameter and its aliases. The description only says the tool accepts the same arguments as ask_pipeworx, which reinforces usage but adds no new parameter-level meaning.

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 the tool as the beta version of ask_pipeworx, an identical universal router with the same 5,801 tools, arguments, and response shape. It explicitly contrasts with the stable ask_pipeworx and names ask_pipeworx_grounded as a sibling, so an agent can distinguish it without opening schemas.

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 an explicit condition: use it exactly like ask_pipeworx when you want the newest routing, and explains that results are compared against the stable router. It does not explicitly enumerate when not to use it or mention ask_pipeworx_grounded, but the stable-vs-beta choice is clear enough.

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
Disambiguation2/5

Multiple tools are near-duplicates or strongly overlapping: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are only mode/version variants, and discover_tools overlaps with suggest_questions, ai_visibility_check with scan_competitor_ai_presence, and the Polymarket tools with each other. An agent would frequently need a deep read of the descriptions to know which one is truly appropriate.

Naming Consistency4/5

The naming is almost entirely snake_case and mostly follows a verb_noun or domain_noun pattern, e.g. query_layer, list_subscriptions, resolve_entity, compare_entities. Minor deviations like entity_profile, pipeworx_feedback, and polymarket_arbitrage are noun-first, but the overall pattern is still recognizable and predictable.

Tool Count2/5

34 tools for a server branded 'Arcgis Tallahassee' is far too many, especially since only a handful of them are GIS-related. The rest constitute a large general-purpose Pipeworx data platform, which at this tool count becomes unwieldy and will increase an agent's selection failure rate.

Completeness3/5

The core read-only GIS flow is covered (search_datasets → layer_info → query_layer), and the Pipeworx side is broad. However, there are notable gaps: no ArcGIS service management, no layer/feature editing, no spatial operations, and no deeper GIS functions. Because the server's stated purpose is ArcGIS-focused, the overall surface is only partially complete relative to that domain.