AI agents use save_decision to create or update resources in CoordMCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CoordMCP environment.
This tool creates or modifies decision records in shared memory, which is a reversible write operation. It does not delete data (Destructive), execute arbitrary code (Execute), move money (Financial), or merely read data (Read).
From the tool's definition The tool name 'save_decision' indicates it persists decision data to shared memory. In the context of a coordination server managing multi-agent collaboration, this creates or modifies decision tracking records that other agents rely on.
Attacks that exploit this kind of access
save_decision. It is categorised as a Write tool in the CoordMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Coord MCP server in PolicyLayer and add a rule for save_decision: 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 CoordMCP. Nothing to install.
save_decision 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 save_decision 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 save_decision. 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.
save_decision is provided by the Coord MCP server (siddiquesahabaj/coordmcp). 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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