suggest_questions

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 ...

SERVER19hz SOURCEhttps://gateway.pipeworx.io/19hz/mcp
Low RISK CLASS
Category Read
Parameters 10 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pipeworx-io-19hz/suggest-questions.md

What suggest_questions does on 19hz

AI agents call suggest_questions to retrieve information from 19hz without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
topic string Optional focus area: finance | pharma | economics | real-estate | betting | weather | government | science | news. Omit for a cross-category spread.

Parameters from the server's own tool schema.

Why suggest_questions is rated Low

suggest_questions is an onboarding and discovery tool that retrieves and displays example queries and metadata about available tools. It has no capability to modify, execute, delete, or manipulate data. The blast radius of misuse is minimal—an AI could only be given incorrect ideas about what tools exist or how to use them, but the tool itself cannot cause harm.

From the tool's definition Tool description indicates it "Returns category-bucketed example questions" and provides "the exact tool + argument shape that answers it, drawn from the live catalog" — purely informational/educational output with "no arguments" needed.

Questions about suggest_questions

What does the suggest_questions tool do? +

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.). It is categorised as a Read tool in the 19hz MCP Server, which means it retrieves data without modifying state.

What parameters does suggest_questions accept? +

suggest_questions accepts 1 parameter: topic. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on suggest_questions? +

Register the 19hz MCP server in PolicyLayer and add a rule for suggest_questions: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches 19hz. Nothing to install.

What risk level is suggest_questions? +

suggest_questions is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit suggest_questions? +

Yes. Add a rate_limit block to the suggest_questions rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block suggest_questions completely? +

Set action: deny in the PolicyLayer policy for suggest_questions. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides suggest_questions? +

suggest_questions is provided by the 19hz MCP server (https://gateway.pipeworx.io/19hz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on 19hz, and thousands of servers like it.

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