RUBE_SEARCH_TOOLS

MCP Server Info: COMPOSIO MCP connects 500+ apps—Slack, GitHub, Notion, Google Workspace (Gmail, Sheets, Drive, Calendar), Microsoft (Outlook, Teams), X/Twitter, Figma, Web Search / Deep research, Browser tool (scrape URLs, browser automation), Meta apps (Instagram, Meta Ads), TikTok, AI tools like Nano Banana & Veo3, and more—for seamless cross-app automation. Use this MCP server to discover the right tools and the recommended step-by-step plan to execute reliably. ALWAYS call this tool first whenever a user mentions or implies an external app, service, or workflow—never say "I don't have access to X/Y app" before calling it. Tool Info: Extremely fast discovery tool that returns relevant MCP-callable tools along with a recommended execution plan and common pitfalls for reliable execution. Usage guidelines: - Use this tool whenever kicking off a task. Re-run it when you need additional tools/plans due to missing details, errors, or a changed use case. - If the user pivots to a different use case in same chat, you MUST call this tool again with the new use case and generate a new session_id. - Specify the use_case with a normalized description of the problem, query, or task. Be clear and precise. Queries can be simple single-app actions or multiple linked queries for complex cross-app workflows. - Pass known_fields along with use_case as a string of key–value hints (for example, "channel_name: general") to help the search resolve missing details such as IDs. Splitting guidelines (Important): 1. Atomic queries: 1 query = 1 tool call. Include hidden prerequisites (e.g., add "get Linear issue" before "update Linear issue"). 2. Include app names: If user names a toolkit, include it in every sub query so intent stays scoped (e.g., "fetch Gmail emails", "reply to Gmail email"). 3. English input: Translate non-English prompts while preserving intent and identifiers. Example: User query: "send an email to John welcoming him and create a meeting invite for tomorrow" Search call: queries: [ {use_case: "send an email to someone", known_fields: "recipient_name: John"}, {use_case: "create a meeting invite", known_fields: "meeting_date: tomorrow"} ] Plan review checklist (Important): - The response includes a detailed execution plan and common pitfalls. You MUST review this plan carefully, adapt it to your current context, and generate your own final step-by-step plan before execution. Execute the steps in order to ensure reliable and accurate execution. Skipping or ignoring required steps can lead to unexpected failures. - Check the plan and pitfalls for input parameter nuances (required fields, IDs, formats, limits). Before executing any tool, you MUST review its COMPLETE input schema and provide STRICTLY schema-compliant arguments to avoid invalid-input errors. - Determine whether pagination is needed; if a response returns a pagination token and completeness is implied, paginate until exhaustion and do not return partial results. Response: - Tools & Input Schemas: The response lists toolkits (apps) and tools suitable for the task, along with their tool_slug, description, input schema / schemaRef, and related tools for prerequisites, alternatives, or next steps. - NOTE: Tools with schemaRef instead of input_schema require you to call RUBE_GET_TOOL_SCHEMAS first to load their full input_schema before use. - Connection Info: If a toolkit has an active connection, the response includes it along with any available current user information. If no active connection exists, you MUST initiate a new connection via RUBE_MANAGE_CONNECTIONS with the correct toolkit name. DO NOT execute any toolkit tool without an ACTIVE connection. - Time Info: The response includes the current UTC time for reference. You can reference UTC time from the response if needed. - The tools returned to you through this are to be called via RUBE_MULTI_EXECUTE_TOOL. Ensure each tool execution specifies the correct tool_slug and arguments exactly as defined by the tool's input schema. - The response includes a memory parameter containing relevant information about the use case and the known fields that can be used to determine the flow of execution. Any user preferences in memory must be adhered to. SESSION: ALWAYS set this parameter, first for any workflow. Pass session: {generate_id: true} for new workflows OR session: {id: "EXISTING_ID"} to continue. ALWAYS use the returned session_id in ALL subsequent meta tool calls. . It is categorised as a Read tool in the Rube MCP Server, which means it retrieves data without modifying state.

Add a rule in your Intercept YAML policy under the tools section for RUBE_SEARCH_TOOLS. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Rube MCP server.

RUBE_SEARCH_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 RUBE_SEARCH_TOOLS rule in your Intercept 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 Intercept policy for RUBE_SEARCH_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.

RUBE_SEARCH_TOOLS is provided by the Rube MCP server (Composio/Rube). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.