council_solve
Full multi-AI problem-solving pipeline: 1. Ask all AIs the question (parallel) 2. Have them critique each other 3. Synthesize the best answer from all responses This is the most thorough approach — uses multiple AI perspectives to arrive at the strongest possible answer. Example: council_solve({ ...
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What council_solve does on 0nmcp
AI agents invoke council_solve to trigger actions in 0nmcp. 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.
Why council_solve is rated High
This tool orchestrates a multi-step external operation: it queries multiple AI services in parallel, then runs a critique round, then synthesizes results. This is not a simple read/query — it executes a coordinated pipeline of external API calls.
From the tool's definition 'Full multi-AI problem-solving pipeline' that runs parallel AI queries, critiques, and synthesis — triggers multiple external AI API operations whose effects depend on the prompt argument
Attacks that exploit this kind of access
The rule that runs council_solve safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 0nmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For council_solve, this is the rule to start with:
council_solve 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.
The button opens the PolicyLayer dashboard: create your workspace, connect 0nmcp, apply this rule, and every council_solve call is checked against it from then on.
Questions about council_solve
Full multi-AI problem-solving pipeline: 1. Ask all AIs the question (parallel) 2. Have them critique each other 3. Synthesize the best answer from all responses This is the most thorough approach — uses multiple AI perspectives to arrive at the strongest possible answer. Example: council_solve({ prompt:. It is categorised as a Execute tool in the 0nmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the 0n MCP server in PolicyLayer and add a rule for council_solve: 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 0nmcp. Nothing to install.
council_solve is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the council_solve 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 council_solve. 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.
council_solve is provided by the 0n MCP server (0nmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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