AI agents use close_market to create or update resources in Manifold — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Manifold environment.
Closing a market modifies its operational status irreversibly in terms of preventing trading, but the action itself is reversible (a market can potentially be reopened or its state adjusted by authorized operators). This distinguishes it from Destructive actions that permanently erase data.
From the tool's definition Tool named 'close_market' with description 'Close a market for trading' indicates modification of market state that prevents further trading activity.
Attacks that exploit this kind of access
Close a market for trading. It is categorised as a Write tool in the Manifold MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Manifold MCP server in PolicyLayer and add a rule for close_market: 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 Manifold. Nothing to install.
close_market is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the close_market 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 close_market. 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.
close_market is provided by the Manifold MCP server (manifold-mcp-server). 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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