Update project intelligence cache with latest changes
AI agents use refresh_project_intelligence to create or update resources in MCP Conductor — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Conductor environment.
The tool updates cached intelligence data across the coordinated MCP ecosystem. While it modifies state reversibly (cache can be rebuilt or refreshed again), it affects downstream MCP servers' context and behavior. The impact is medium severity because misconfiguration could corrupt project state across multiple services, but the operation is reversible via re-caching.
From the tool's definition Tool description states 'Update project intelligence cache with latest changes' — 'update' is a Write operation that modifies cached data.
Documented attack patterns abuse exactly the kind of access refresh_project_intelligence gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Conductor, and nothing reaches the server without passing your rules. This is the rule we recommend for refresh_project_intelligence:
{
"version": "1",
"default": "deny",
"tools": {
"refresh_project_intelligence": {
"limits": [
{
"counter": "refresh_project_intelligence_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} refresh_project_intelligence stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Update project intelligence cache with latest changes. It is categorised as a Write tool in the MCP Conductor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Conductor MCP server in PolicyLayer and add a rule for refresh_project_intelligence: 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 MCP Conductor. Nothing to install.
refresh_project_intelligence 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 refresh_project_intelligence 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 refresh_project_intelligence. 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.
refresh_project_intelligence is provided by the MCP Conductor MCP server (lutherscottgarcia/mcp-conductor). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Conductor, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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25 MCP Conductor tools catalogued and risk-classified — across an index of 43,000+ MCP servers.