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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

A4.1/5.0
Behavior4/5

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

The description goes beyond annotations by revealing that candidate routing improvements are enabled live during testing, that no candidate is active now, and that it is a full working router with no fallback behavior. This gives useful context about variability and reliability, though it does not explicitly restate read-only behavior (already covered by annotations).

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 reasonably concise but contains some redundancy, such as repeating 'identical' and 'full working router' and the two-sentence explanation of beta status. It is well-structured and front-loads the key distinction from ask_pipeworx, but could be slightly tighter without losing meaning.

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?

The description provides essential context about beta status, current candidate state, and comparison with the stable router, and references the response shape being identical to ask_pipeworx. For a routing tool with no output schema, this is sufficient for an agent to decide and invoke it, though it lacks examples or edge-case guidance.

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?

The schema description already covers all six parameters, including alias support for the question field. The description adds no new semantic information beyond what is in the input schema, so the baseline score of 3 is appropriate given high schema coverage.

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 identifies the tool as a beta version of ask_pipeworx, a universal router with the same tool set and arguments, and differentiates it from the stable sibling by emphasizing experimental routing improvements. Although it does not explicitly state 'routes natural language queries to tools', the term 'universal router' and the comparison to ask_pipeworx convey the core purpose effectively.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool: 'Use it exactly like ask_pipeworx when you want the newest routing', and contrasts it with the stable router by noting results are compared to decide merges. It also clarifies the current state (no active candidate, matches ask_pipeworx exactly), leaving no ambiguity about selection.

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: ask_pipeworx/ask_pipeworx_grounded/deep_research all handle broad queries; multiple Polymarket tools exist for edge finding; entity_profile/compare_entities/recent_changes/resolve_entity overlap on company data. An agent would struggle to pick the right tool.

Naming Consistency2/5

Naming patterns are mixed: some use verb_noun (search_opportunities, get_opportunity), some are phrases (ask_pipeworx_grounded, polymarket_edge_tracker), and some are vague (recall, forget). No consistent convention across the set.

Tool Count2/5

32 tools is high, but the core issue is that the server name 'Grants Gov' implies a narrow focus, yet only 2 tools are about grants. The sheer number of unrelated tools makes the set feel bloated and unfocused.

Completeness3/5

For the actual domain of general data querying and prediction markets, the tool surface is fairly complete, covering many sources. However, for 'Grants Gov' it is severely incomplete (missing all but opportunities). Overall, the scope is broad but lacks depth in any one area.