read_artifact

Reads the content of a named artifact from the session.

SERVERGenkit MCP SOURCEgenkit-ai/genkit

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/firebase-genkit/read-artifact.md

WHAT IT DOES

What read_artifact does on Genkit MCP

AI agents call read_artifact to retrieve information from Genkit MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why read_artifact is rated Low

This tool retrieves or queries data from a session artifact without creating, modifying, deleting, or executing anything. It is a read-only operation with minimal risk and no destructive capability.

From the tool's definition Tool name 'read_artifact' and description 'Reads the content of a named artifact from the session' explicitly indicate a retrieval operation with no modification or side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs read_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 read_artifact, this is the rule to start with:

read_artifact Allowed

read_artifact is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "read_artifact": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Genkit MCP, apply this rule, and every read_artifact call is checked against it from then on.

FAQ

Questions about read_artifact

What does the read_artifact tool do? +

Reads the content of a named artifact from the session. It is categorised as a Read tool in the Genkit MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_artifact? +

Register the Genkit MCP server in PolicyLayer and add a rule for read_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.

What risk level is read_artifact? +

read_artifact is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit read_artifact? +

Yes. Add a rate_limit block to the read_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.

How do I block read_artifact completely? +

Set action: deny in the PolicyLayer policy for read_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.

What MCP server provides read_artifact? +

read_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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