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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 flag readOnly, openWorld, idempotent, and non-destructive, and the description reinforces that this is a full working router with no fallback. It adds important transparency about the beta nature: candidate routing improvements may be active, results are compared against the stable router, and the last candidate was retired on a specific date. It also explicitly says it 'falls back to nothing', which is a useful behavioral disclosure beyond annotations. Slight gap: it does not detail what happens if an experimental candidate performs poorly or how routing differences manifest in responses.

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 compact and front-loaded with the essential fact that this is the beta version of ask_pipeworx with identical routing. It efficiently conveys current equivalence, the testing purpose, and the no-fallback guarantee in a few sentences. It loses one point because the parenthetical date and the 'whenever one is under test' clause make the middle slightly dense, but every sentence 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 universal router with one string parameter and no output schema, the description is nearly complete: it states what the tool is, how it relates to ask_pipeworx, that it is fully functional, and what the current experimental status is. The absence of an output schema is fine since the description says the response shape matches ask_pipeworx and routing tools typically return routed results. A small gap is that it doesn't describe any expected latency, error, or candidate-testing side effects for the caller, but the annotations cover safety and idempotence.

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%, and the schema thoroughly documents the 'question' parameter and its aliases (q, prompt, text, input, query). The description adds that 'same arguments' are accepted as ask_pipeworx, which reinforces that the single natural-language question is the only semantic input. But it does not add any new parameter-level meaning beyond the schema because the schema already lists aliases and descriptions exhaustively; baseline 3 is appropriate.

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?

Description clearly states this is the beta version of ask_pipeworx with identical routing capabilities, explicitly listing the same 5,798 tools, same arguments, and same response shape. It distinguishes itself by noting candidate routing improvements may be enabled during tests, and clarifies it is a full working router, not a stub. The specific verb 'ask' plus resource 'pipeworx' and the beta qualifier differentiate it from ask_pipeworx while acknowledging their current equivalence.

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 says to use it 'exactly like ask_pipeworx when you want the newest routing' and notes results are compared with the stable router. It states no candidate is active right now so behavior currently matches ask_pipeworx exactly, which gives an agent clear situational guidance. However, it doesn't explicitly say when NOT to use this over ask_pipeworx or name conditions for preferring the stable version, 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.

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TDQS

A3.7/5.0
Disambiguation3/5

Tools are generally distinct in purpose, but the server name 'Maryland Open Data' conflicts with the inclusion of many unrelated Pipeworx tools (e.g., prediction market tools). This creates ambiguity about the server's actual domain, making it hard for agents to know what to expect.

Naming Consistency2/5

Naming conventions are mixed: some tools use snake_case (ai_visibility_check), others are plain (datasets, query), and some are descriptive phrases (ask_pipeworx_grounded). No consistent verb_noun pattern emerges, leading to a chaotic feel.

Tool Count2/5

33 tools is high, and the majority are unrelated to Maryland Open Data, suggesting scope creep. The server tries to be a general-purpose data platform but is named after a specific dataset, making the count feel excessive and unfocused.

Completeness3/5

The Maryland Open Data subset is minimal (3 tools: datasets, metadata, query), lacking update/delete/CRUD operations. The broader set includes many query and analysis tools, but the server's stated purpose is not fully covered.