AI agents use update_code_artifact to create or update resources in Forgetful — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Forgetful environment.
This tool creates or modifies data (code artifacts) in a reversible manner, fitting the Write category. It is not Destructive because updates are typically reversible. Severity is medium because misuse could corrupt or alter stored code knowledge, affecting AI reasoning and outputs, but the impact is contained to the knowledge base rather than external systems.
From the tool's definition Tool name 'update_code_artifact' indicates modification of stored code artifacts. The server is described as a 'storage and retrieval' system with 'persistent knowledge base.' The presence of sibling tools like 'create_code_artifact' and…
Documented attack patterns abuse exactly the kind of access update_code_artifact gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Forgetful, and nothing reaches the server without passing your rules. This is the rule we recommend for update_code_artifact:
{
"version": "1",
"default": "deny",
"tools": {
"update_code_artifact": {
"limits": [
{
"counter": "update_code_artifact_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_code_artifact 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.
Free to start. No card required.
update_code_artifact. It is categorised as a Write tool in the Forgetful MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Forgetful MCP server in PolicyLayer and add a rule for update_code_artifact: 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 Forgetful. Nothing to install.
update_code_artifact 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 update_code_artifact 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 update_code_artifact. 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.
update_code_artifact is provided by the Forgetful MCP server (scottrbk/forgetful). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 59 Forgetful tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
59 Forgetful tools catalogued and risk-classified — across an index of 42,500+ MCP servers.