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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

A4.8/5.0
Behavior5/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint, destructiveHint=false. The description adds valuable context: it is the onboarding entry point, returns categorized examples, and shows exact tool+argument shapes. No contradiction.

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 slightly long but well-structured with a front-loaded list of synonyms and clear explanations. Every sentence provides value, though minor tightening is possible.

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 single optional parameter, no output schema, and annotations covering safety and idempotency, the description is complete: it explains what the output looks like, when to use it, how to use it, and provides examples.

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 description coverage is 100% for the single optional parameter (topic), listing allowed values. The description adds further context by showing examples of topic values and explaining that omitting gives a full spread.

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 defines the tool as an onboarding entry point that returns category-bucketed example questions with tool+argument shapes. It distinguishes itself from siblings by specifying 'use this FIRST' and listing alternative meta-tools.

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 states when to use the tool ('when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools'), how to use it (no args or topic argument), and provides references to alternative tools.

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
Disambiguation4/5

Most tools have distinct purposes, but ask_pipeworx and ask_pipeworx_grounded overlap (one is grounded), and bet_research/validate_claim/compare_entities/entity_profile all query Pipeworx data with different intents, which could cause confusion.

Naming Consistency4/5

Names are consistently lower_snake_case and mostly follow a verb_noun pattern (e.g., search_podcasts, get_podcast, list_subscriptions). A few compound names like pipeworx_feedback and polymarket_arbitrage deviate slightly but remain readable.

Tool Count2/5

30 tools is excessive for a server named 'Podcastindex'. It aggregates unrelated domains (podcasts, Pipeworx queries, Polymarket, memory, etc.), making it feel like a kitchen sink rather than a focused tool set.

Completeness3/5

For podcasts, the tool set covers search, metadata, episodes, and trending but lacks subscription management. For the broader Pipeworx domain, ask_pipeworx and discover_tools provide wide access, but specific gaps exist (e.g., no direct SEC filing query). Overall, the surface is broad but uneven.