AI agents call list_jobs to retrieve information from Mcp Dagster without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about jobs without modifying, deleting, or executing any operations. It is a straightforward data retrieval function, making it a Read category tool with low severity risk.
From the tool's definition Tool name 'list_jobs' and description 'List all jobs in a specific repository' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_jobs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Dagster, and nothing reaches the server without passing your rules. This is the rule we recommend for list_jobs:
{
"version": "1",
"default": "deny",
"tools": {
"list_jobs": {}
}
} list_jobs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all jobs in a specific repository. It is categorised as a Read tool in the Mcp Dagster MCP Server, which means it retrieves data without modifying state.
Register the Mcp Dagster MCP server in PolicyLayer and add a rule for list_jobs: 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 Mcp Dagster. Nothing to install.
list_jobs 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 list_jobs 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 list_jobs. 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.
list_jobs is provided by the Mcp Dagster MCP server (kyryl-opens-ml/mcp-server-dagster). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Dagster, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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9 Mcp Dagster tools catalogued and risk-classified — across an index of 43,000+ MCP servers.