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 ...
AI agents call suggest_questions to retrieve information from Mcp Tcgdex without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
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.
suggest_questions is a pure discovery and documentation tool. It retrieves and presents metadata about available tools and example queries. It takes no arguments and produces informational output only, with zero side effects. This is clearly a Read category tool with minimal risk if misused—an agent could only be confused or given irrelevant suggestions, not cause data loss or execute unintended operations.
From the tool's definition Tool returns 'example questions' and 'category-bucketed example questions' with 'exact tool + argument shape' drawn from a catalog.
Attacks that exploit this kind of access
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 Mcp Tcgdex MCP Server, which means it retrieves data without modifying state.
suggest_questions accepts 1 parameter: topic. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Tcgdex 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 Mcp Tcgdex. Nothing to install.
suggest_questions is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
suggest_questions is provided by the Mcp Tcgdex MCP server (pipeworx-io/mcp-tcgdex). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →