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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

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, destructiveHint. Description adds behavioral details: returns example questions with tool+argument shapes, drawn from live catalog, and behavior with/without argument. No contradictions.

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?

Front-loaded with natural language phrases, structured with parenthetical details. Slightly long but every sentence adds value. Could be slightly more concise, but overall efficient.

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?

Complete for a simple tool with one optional param. Explains purpose, usage, behavior with/without argument, and output nature (category-bucketed questions). No output schema needed as description covers it.

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

Parameters5/5

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

One parameter (topic) with 100% schema coverage. Description adds meaning: lists focus areas (finance, pharma, etc.) and explains omitting gives full spread. Adds value beyond 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?

Description clearly states the tool returns category-bucketed example questions for onboarding, using verbs like 'returns' and specifying the resource (Pipeworq capabilities). It distinguishes itself from siblings by being the first tool to use when unsure.

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?

Explicitly says 'Use this FIRST when you do not yet know what Pipeworx can do for you' and explains how to focus with a topic. Does not state when not to use, but the context is clear enough.

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 overlap heavily: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, and validate_claim all answer factual queries with subtle differences, and the Polymarket suite (bet_research, polymarket_edges, polymarket_arbitrage, polymarket_fill_risk, polymarket_edge_tracker) has fine-grained distinctions that are hard to separate. The single Barcelona events tool is isolated and unrelated to the rest, adding to agent confusion.

Naming Consistency3/5

Most tool names use snake_case and many follow a verb_noun pattern, but there are notable inconsistencies: noun-first names (entity_profile, polymarket_arbitrage, pipeworx_trending) and modifiers like beta/grounded on ask_pipeworx introduce non-uniformity. Overall the set is readable but not consistently predictable.

Tool Count2/5

With 32 tools, the set is beyond the well-scoped 3-15 range. The count is especially inappropriate for a server named 'Barcelona Events' because only one tool actually relates to Barcelona events; the other 31 are a broad data-research and utility collection with no clear connection to the server's apparent purpose.

Completeness1/5

For a server named 'Barcelona Events', the surface is severely incomplete: it offers a single events search tool with no create, update, delete, detail, venue, or organizer operations. Even interpreting the domain broadly, the mismatch between the server name and the tool set leaves a critical gap between user expectation and actual capability.