AI agents use policies.update to create or update resources in Executor — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Executor environment.
This tool creates or modifies policy data reversibly, fitting the Write category. Severity is high because policy modifications affect the security posture and access controls of the entire integration layer and connected AI agents. Misuse could grant unauthorized permissions or disable security controls.
From the tool's definition Tool name 'policies.update' and description 'Update a tool policy' indicate modification of existing policy data. The action is reversible (policies can be updated again), distinguishing it from deletion.
Documented attack patterns abuse exactly the kind of access policies.update gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Executor, and nothing reaches the server without passing your rules. This is the rule we recommend for policies.update:
{
"version": "1",
"default": "deny",
"tools": {
"policies.update": {
"limits": [
{
"counter": "policies.update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}policies.update 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 a tool policy. It is categorised as a Write tool in the Executor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Executor MCP server in PolicyLayer and add a rule for policies.update: 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 Executor. Nothing to install.
policies.update 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 policies.update 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 policies.update. 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.
policies.update is provided by the Executor MCP server (rhyssullivan/executor). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 29 Executor tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
29 Executor tools catalogued and risk-classified — across an index of 42,500+ MCP servers.