Skip to main content
Glama

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

A3.9/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, openWorldHint, non-destructive), so the bar is lower, and the description adds genuinely useful behavioral context beyond them: the routing candidate can be 'enabled live whenever one is under test,' no candidate is active so behavior currently matches ask_pipeworx exactly, and the 'Falls back to nothing — this IS a full working router' note preempts the misconception that the beta is a stub. This is meaningful experimental-edge disclosure, though it could add what the response shape actually is.

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 beta identity and each sentence adds distinct value: identical surface, live-candidate behavior, current no-candidate state, usage instruction, comparison purpose, and non-stub reassurance. It is slightly verbose — '(same 5,798 tools, same arguments, same response shape)' restates 'identical,' and the 'retired on outcome evidence 2026-07-26' date is more granular than needed — but nothing is wasted.

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 simple one-required-parameter router with complete schema coverage and rich annotations, the description plus schema gives an agent everything needed to invoke it correctly. The remaining gaps are minor: it references 'same response shape' without describing it, and 'routing improvements' is never concretely explained, but the explicit equivalence to ask_pipeworx covers the practical invocation case.

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% — all six parameters are individually documented, five as 'Alias for question' and one as the canonical question parameter — so the schema fully carries parameter meaning. The description's 'same arguments' adds only meta-level confirmation, not param-specific semantics, which matches the baseline 3 for 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 states the tool is a 'Beta version of ask_pipeworx: identical universal router' — a specific resource with a clearly implied routing/answering function, and it differentiates itself from the stable ask_pipeworx through the experimental-candidate framing. However, 'universal router' is jargon; the concrete user-facing function (submit a question and get routed to the best of 5,798 tools) is only inferred via 'Use it exactly like ask_pipeworx,' which prevents a 5.

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?

Gives an explicit usage condition: 'Use it exactly like ask_pipeworx when you want the newest routing.' It also clarifies the current-state nuance — no active candidate means it presently matches the stable router — which is exactly what an agent needs to decide between this and ask_pipeworx. It does not provide an explicit when-not-to-use clause or name alternatives like ask_pipeworx_grounded, so it falls just short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation2/5

Multiple tool clusters have unclear boundaries: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are three variants of the same router (beta is currently identical), while bet_research, polymarket_edges, and polymarket_arbitrage all target prediction-market opportunities. ai_visibility_check is effectively a single-entity version of scan_competitor_ai_presence, and discover_tools overlaps heavily with suggest_questions.

Naming Consistency3/5

Tool names are uniformly snake_case and descriptive, but the pattern is mixed: verb-first names (ask_pipeworx, compare_entities, search_within) coexist with noun-first names (patent, scholarly, entity_profile), and the Lens.org pairing of patent/patents_search vs scholarly/scholarly_search is structurally inconsistent. Subgroups like pipeworx_* and polymarket_* are internally consistent, keeping the overall set readable.

Tool Count2/5

At 35 tools, this exceeds the 16-25 'heavy' band and bundles at least four distinct domains: Lens.org bibliometrics, Pipeworx data routing, Polymarket trading analysis, and memory/subscription utilities. While many tools serve legitimate purposes, the set feels sprawling and several variants (e.g., the three ask_pipeworx flavors) inflate the count without adding equivalent value.

Completeness4/5

The Pipeworx/Polymarket ecosystem is thoroughly covered with routing, grounded answers, deep research, entity resolution, validation, comparison, monitoring, and memory all present. The Lens.org portion is thin (search + fetch for patents and scholarly works) but covers the core read path; minor gaps exist such as no batch/export operations and no patent-number lookup.