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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

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive behavior. The description adds valuable context beyond annotations: it is a full working router, not a stub or fallback; it currently matches ask_pipeworx exactly because the last candidate was retired; and it is an experimental edge with candidate routing under test. This gives agents an accurate expectation of behavior without contradicting 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 longer than a minimal tool description, but the extra length is justified by the beta/experimental nuance and the need to clarify that this is a fully functional router despite the 'beta' label. Key information is front-loaded in the first sentence. The sentence about the retired candidate is useful context, though some redundancy exists around 'same tools, same arguments, same response shape'.

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?

Given the rich annotations, full schema coverage, and sibling context, the description gives enough for an agent to decide whether to use this tool and how to invoke it. It explains current behavior, safety profile, and relationship to ask_pipeworx. The lack of an output schema is partially mitigated by stating the response shape matches ask_pipeworx, though the shape itself is not described.

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 input schema has 100% description coverage and fully documents all six parameters as aliases for 'question'. The description does not add parameter-level meaning, but it does not need to because the schema already handles it. The claim 'same arguments' as ask_pipeworx is a mild additional cue, but the schema remains the primary source.

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 this as a beta version of ask_pipeworx with an identical tool set, arguments, and response shape, and explains the differentiator: experimental routing improvements. It distinguishes itself from the stable ask_pipeworx sibling by explaining the candidate-routing comparison. However, 'universal router' is somewhat abstract and the core action is implied rather than stated as a concrete verb.

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?

The description explicitly says to 'Use it exactly like ask_pipeworx when you want the newest routing,' which gives a concrete usage context. It also notes the current state (no active candidate, so behavior matches ask_pipeworx exactly) and explains that results are compared to decide merges. It does not give explicit when-not-to-use guidance, such as avoiding it for stable/production results.

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, e.g., multiple tools for data retrieval (ask_pipeworx, ask_pipeworx_grounded, deep_research, entity_profile) that differ only in nuance, and the inclusion of both DummyJSON and Pipeworx tools creates confusion about which domain to use for what. Agents will struggle to select the correct tool.

Naming Consistency2/5

Naming conventions are mixed: Pipeworx tools use diverse patterns (verb_noun like 'validate_claim', noun like 'entity_profile', verb like 'forget'), while DummyJSON tools use simple nouns (posts, comments). No consistent pattern across the set.

Tool Count2/5

43 tools is excessive for a server named 'Dummyjson'. The majority are Pipeworx tools unrelated to fake data, making the set feel bloated and unfocused. The count is too large for the apparent scope.

Completeness3/5

For a fake data API, the set is incomplete: it only provides read operations (fetch, search) with no create, update, or delete capabilities. However, for the Pipeworx portion, the read coverage is extensive, so it's not severely lacking overall.