answer_instance_mcp_input_request

Answer or cancel a paused outbound MCP call.

SERVERProAgentStore SOURCEhttps://mcp.proagentstore.online/mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-proagentstore-platform/answer-instance-mcp-input-request.md

WHAT IT DOES

What answer_instance_mcp_input_request does on ProAgentStore

AI agents invoke answer_instance_mcp_input_request to trigger actions in ProAgentStore. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why answer_instance_mcp_input_request is rated High

Resumes or cancels an external MCP call, triggering external operations with potentially wide effects.

From the tool's definition Answer or cancel a paused outbound MCP call

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs answer_instance_mcp_input_request safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For answer_instance_mcp_input_request, this is the rule to start with:

answer_instance_mcp_input_request Rate-limited

answer_instance_mcp_input_request stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "answer_instance_mcp_input_request": {
      "limits": [
        {
          "counter": "answer_instance_mcp_input_request_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every answer_instance_mcp_input_request call is checked against it from then on.

FAQ

Questions about answer_instance_mcp_input_request

What does the answer_instance_mcp_input_request tool do? +

Answer or cancel a paused outbound MCP call. It is categorised as a Execute tool in the ProAgentStore MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on answer_instance_mcp_input_request? +

Register the ProAgentStore MCP server in PolicyLayer and add a rule for answer_instance_mcp_input_request: 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 ProAgentStore. Nothing to install.

What risk level is answer_instance_mcp_input_request? +

answer_instance_mcp_input_request is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit answer_instance_mcp_input_request? +

Yes. Add a rate_limit block to the answer_instance_mcp_input_request 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 answer_instance_mcp_input_request completely? +

Set action: deny in the PolicyLayer policy for answer_instance_mcp_input_request. 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 answer_instance_mcp_input_request? +

answer_instance_mcp_input_request is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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