write_artifact
Creates or updates a named artifact in the session.
This record as markdown: /tools/firebase-genkit/write-artifact.md
What write_artifact does on Genkit MCP
AI agents use write_artifact to create or update resources in Genkit MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Genkit MCP environment.
Why write_artifact is rated Medium
This tool creates or modifies artifacts within a session scope, which is a reversible write operation. While it modifies data, the effects are scoped to the session and can be undone or overwritten. The medium severity reflects the potential for an AI agent to create misleading or inappropriate artifacts, but the reversible nature and session-level scope prevent classification as Destructive.
From the tool's definition Tool name 'write_artifact' and description 'Creates or updates a named artifact in the session' clearly indicate create and update operations on data.
Attacks that exploit this kind of access
The rule that runs write_artifact safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Genkit MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For write_artifact, this is the rule to start with:
write_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Genkit MCP, apply this rule, and every write_artifact call is checked against it from then on.
Questions about write_artifact
Creates or updates a named artifact in the session. It is categorised as a Write tool in the Genkit MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Genkit MCP server in PolicyLayer and add a rule for write_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 Genkit MCP. Nothing to install.
write_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 write_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 write_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.
write_artifact is provided by the Genkit MCP server (genkit-ai/genkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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