Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTria...
AI agents call discover_tools to retrieve information from Mcp Predicthq without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
q | string | — | Alias for query. |
task | string | — | Alias for query. |
limit | number | — | Maximum number of tools to return (default 20, max 50) |
query | string | Yes | Natural language description of what you want to do (e.g., "analyze housing market trends", "look up FDA drug approvals", "find trade data between countries"). |
search | string | — | Alias for query. |
description | string | — | Alias for query. |
Parameters from the server's own tool schema.
This tool is a discovery/search mechanism that queries metadata about available tools and returns their descriptions and schemas. It has no side effects, does not modify data, and purely retrieves informational content about tool capabilities.
From the tool's definition Find tools by describing the data or task...browse, search, look up, or discover what tools exist...Returns the top-N most relevant tools with names, descriptions, and full input schemas
Risk signalsAccepts freeform code/query input (query)
Attacks that exploit this kind of access
Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer). It is categorised as a Read tool in the Mcp Predicthq MCP Server, which means it retrieves data without modifying state.
discover_tools accepts 6 parameters: q, task, limit, query, search, description. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Predicthq MCP server in PolicyLayer and add a rule for discover_tools: 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 Predicthq. Nothing to install.
discover_tools 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 discover_tools 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 discover_tools. 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.
discover_tools is provided by the Mcp Predicthq MCP server (pipeworx-io/mcp-predicthq). 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.
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