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What Can I Ask Pipeworx?

suggest_questions
Read-onlyIdempotent

What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass topic (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoOptional focus area: finance | pharma | economics | real-estate | betting | weather | government | science | news. Omit for a cross-category spread.

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so the safety profile is well-covered. The description adds context about the return format (category-bucketed examples with tool+argument shapes) and the ability to omit or specify topic, which is useful beyond 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 somewhat long but well-structured: purpose first, then usage details, then examples. Every sentence adds value. Could be tightened slightly, but overall it is appropriately sized for a tool that serves as an onboarding guide.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (one optional parameter) and no output schema, the description fully explains what the tool does, how to use it, and what to expect. It is complete for the agent to select and invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a parameter description, but the description elaborates by listing exact topic values (finance, pharma, etc.) and the behavior when omitted. This adds meaningful guidance beyond the schema.

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 clearly states the tool's purpose: an onboarding entry point returning category-bucketed example questions with tool+argument shapes. It uses specific verbs like 'returns' and 'call', and distinguishes itself from siblings by being the first tool to use when unsure of capability.

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?

Explicitly instructs when to use: 'Use this FIRST when you do not yet know what Pipeworx can do.' Also provides alternatives (meta-tools) and describes optional topic filtering. The guidance is precise and actionable.

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

A3.9/5.0
Disambiguation2/5

Several tools occupy nearly identical roles (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, discover_tools), and ask_pipeworx_beta is explicitly the same router as ask_pipeworx. Company-data tools (entity_profile, compare_entities, recent_changes, validate_claim) and the Polymarket family also overlap heavily, making selection error-prone despite detailed descriptions.

Naming Consistency5/5

Tool names are consistently lowercase snake_case with a verb_noun pattern (search_notices, get_notice, find_a_tender_recent, validate_claim). Even longer names like polymarket_edge_tracker and ask_pipeworx_grounded follow a predictable style with no camelCase or mixed conventions.

Tool Count2/5

36 tools is already excessive for a focused server, and the 'Uk Contracts' name covers only five of them (search_notices, recent_notices, get_notice, find_a_tender_recent, find_a_tender_notice). The remaining 31 are unrelated Pipeworx/Polymarket/AI-marketing utilities, so the count badly mismatches the apparent scope.

Completeness4/5

For UK public procurement, the five relevant tools provide search, recent listing, and full-detail retrieval for both Contracts Finder and Find a Tender Service, covering the core workflows well. Minor gaps include no tender-specific alert/subscription support and no server-side keyword search for the high-value FTS feed.