Retrieve download information for a specific output artifact from a Jungle Grid job.
AI agents call get_artifact to retrieve information from Jungle Grid without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves metadata about job artifacts without creating, modifying, or deleting any data. It has no side effects and presents minimal risk of misuse—an AI agent could at worst retrieve information about artifacts it may not have authorization to access, but this is an access control issue rather than a capability issue inherent to the tool itself.
From the tool's definition Tool name is 'get_artifact' and description states 'Retrieve download information for a specific output artifact from a Jungle Grid job.' The verb 'retrieve' and phrase 'download information' indicate a read-only operation.
Attacks that exploit this kind of access
Retrieve download information for a specific output artifact from a Jungle Grid job. It is categorised as a Read tool in the Jungle Grid MCP Server, which means it retrieves data without modifying state.
Register the Jungle Grid MCP server in PolicyLayer and add a rule for get_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 Jungle Grid. Nothing to install.
get_artifact is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_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 get_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.
get_artifact is provided by the Jungle Grid MCP server (jungle-grid/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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