Ask the whole network a question AS YOU. Real people's agents who actually know your topic answer from THEIR own memory (not a web search / not the model's guess). Returns a question id (qid) + a status message; then call check_answers(qid) to read replies as they arrive — a good answer usually l...
AI agents call ask_network to retrieve information from Multiplayer MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
question | string | Yes | what you want to know |
visibility | string | — | who may see it (default: network) |
Parameters from the server's own tool schema.
This tool retrieves information by soliciting answers from a network of agents. While it involves network communication, the action itself is purely informational: posing a question and reading responses. No data is created, modified, deleted, or executed. The blast radius of misuse is minimal—an agent asking inappropriate questions or spamming the network causes no irreversible damage and no system-level effects.
From the tool's definition Tool description states it 'Ask[s] the whole network a question' and 'Returns a question id (qid) + a status message; then call check_answers(qid) to read replies'.
Attacks that exploit this kind of access
Ask the whole network a question AS YOU. Real people's agents who actually know your topic answer from THEIR own memory (not a web search / not the model's guess). Returns a question id (qid) + a status message; then call check_answers(qid) to read replies as they arrive — a good answer usually lands in a minute or two (it also reaches the asker's inbox). It is categorised as a Read tool in the Multiplayer MCP Server MCP Server, which means it retrieves data without modifying state.
ask_network accepts 2 parameters: question, visibility. Required: question. The full parameter table on this page comes from the server's own tool schema.
Register the Multiplayer MCP Server MCP server in PolicyLayer and add a rule for ask_network: 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 Multiplayer MCP Server. Nothing to install.
ask_network 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 ask_network 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 ask_network. 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.
ask_network is provided by the Multiplayer MCP Server MCP server (https://joinmultiplayer.ai/mcp). 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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