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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

A4.4/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true, openWorldHint=true, etc. Description adds behavioral context: it's an onboarding tool, returns example questions, no arguments for full spread, and does not modify anything. 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?

Description is front-loaded with synonyms and purpose, but somewhat lengthy. Every sentence adds value; could be slightly tighter but well-structured overall.

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 no output schema, description fully explains return format (category-bucketed example questions with tool+argument shape). It adequately covers usage, parameter, and behavioral aspects. Sibling tools are diverse but description clearly positions this tool as the onboarding entry point.

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?

Only one optional parameter 'topic' with enumerated examples in the description (e.g., 'finance', 'pharma'). Schema coverage is 100%. Description adds meaning by listing example values and stating 'Omit for a cross-category 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 states the tool returns category-bucketed example questions with tool/invocation details, serving as an onboarding entry point. It uses specific verbs ('returns', 'call') and resource ('example questions') and distinguishes from siblings by positioning as a first-use tool.

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, or to learn how to call the meta-tools.' Also provides guidance on optional topic parameter. Alternatives are not named but implied from the sibling list and meta-tool reference.

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

Some tools have overlapping purposes (e.g., ask_pipeworx and ask_pipeworx_grounded; multiple Polymarket analysis tools) but descriptions help differentiate. Odoo-specific tools are distinct among themselves but muddled with many general-purpose tools.

Naming Consistency2/5

Naming is heavily inconsistent: Odoo tools follow 'odoo_list_*' pattern while others use varied structures like verb-first (forget, remember) or noun-first (entity_profile, recent_alerts). No unified verb_noun pattern across the set.

Tool Count3/5

At 32 tools, the server exceeds the typical well-scoped range (3–15) but is not excessively large. Many tools are generic and could be trimmed, making the set feel heavier than necessary.

Completeness2/5

Despite many tools, the server lacks essential CRUD operations for Odoo (e.g., create/update/delete leads) and the 'Odoo' name misrepresents the actual focus. Gaps in Odoo functionality and mixed domains create a sense of incompleteness.