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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

A4.3/5.0
Behavior5/5

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

Annotations already declare the safety profile (read-only, idempotent, non-destructive), so the description's job is to add behavioral context — and it delivers richly. It discloses that behavior is versioned: candidate routing improvements are enabled live whenever under test, that no candidate is currently active (retired on outcome evidence 2026-07-26), and that the tool is a full working router rather than a fallback stub. It also surfaces the meta-purpose (A/B comparison against the stable router to decide merges), which no annotation could convey. No contradiction with 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?

Four sentences, front-loaded with the identity statement ('Beta version of ask_pipeworx') before any nuance. Every sentence earns its place: what it is, current runtime state, when to use it, and a corrective clarification that it is not a fallback. Slightly denser than strictly necessary — the retirement date and the 'Falls back to nothing' clarification could be trimmed — 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 router with 5,798 underlying tools, the description is remarkably complete: interface parity with ask_pipeworx, response-shape parity, current behavior state, and usage condition are all covered. The absence of an output schema is mitigated by the explicit 'same response shape' parity clause. Minor gap: an agent unfamiliar with ask_pipeworx still doesn't know what a router response looks like, but the parity statement and sibling reference cover it well enough.

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% — all six parameters (question plus five aliases q, text, input, query, prompt) are documented inline, with the question parameter itself enumerating its aliases. The description adds only the confirmation that arguments are 'identical' to ask_pipeworx, which is useful parity information but not new parameter-level meaning. Baseline 3 applies because the schema carries the semantic load.

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 opens by defining the tool precisely: 'Beta version of ask_pipeworx: identical universal router (same 5,798 tools, same arguments, same response shape)'. The verb+resource is specific (routes a question to one of 5,798 tools), and it explicitly differentiates itself from the stable sibling ask_pipeworx and the experimental 'experimental edge' framing. An agent can immediately distinguish this from ask_pipeworx and ask_pipeworx_grounded without inspecting 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?

The description gives an explicit when-to-use condition: 'Use it exactly like ask_pipeworx when you want the newest routing'. It also names the comparison context (results compared against the stable router) and notes the current equivalence to ask_pipeworx. It stops short of an explicit exclusion such as 'for production decisions use the stable router,' but the beta/experimental framing plus the named sibling make the alternative obvious.

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

ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are essentially the same router with different output modes, and ask_pipeworx_beta is currently identical to ask_pipeworx. There is also meaningful overlap between entity_profile, compare_entities, recent_changes, validate_claim, and the USAspending profile/search tools.

Naming Consistency3/5

All names are lower_snake_case with useful prefixes like ask_, polymarket_, and usa_, which helps grouping. However, the underlying convention is mixed: some are verb+object, some are noun phrases, and some are bare verbs, so there is no uniform verb_noun pattern.

Tool Count2/5

38 tools is well beyond the heavy range, and most of them are unrelated to USAspending: Polymarket betting, npm dependency checks, AI visibility, memory storage, and meta-tools. The actual USAspending-specific surface is only about seven tools, making the server feel bloated and unfocused.

Completeness3/5

The federal-contract cluster covers award search, recipient/incumbent profiles, expiring awards, and spending by agency/category/trend, which handles the main contracting questions. Missing award-detail retrieval, grants/assistance coverage, and open-solicitation lookup, which usa_expiring_awards explicitly punts to external samgov/govcon tools.