list_recent_pipeline_runs
AI agents call list_recent_pipeline_runs to retrieve information from Lumino MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves historical pipeline execution data for monitoring purposes. 'List' operations are read-only queries that do not modify state, trigger actions, or cause side effects. In an SRE observability context for Kubernetes debugging, this is a passive data retrieval function. Minimal blast radius if misused—an agent can only access information already present in the system.
From the tool's definition Tool name 'list_recent_pipeline_runs' indicates data retrieval of pipeline execution history with no modification capability. Description is empty but naming pattern aligns with query/list operations typical of observability platforms.
Attacks that exploit this kind of access
list_recent_pipeline_runs. It is categorised as a Read tool in the Lumino MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Lumino MCP Server MCP server in PolicyLayer and add a rule for list_recent_pipeline_runs: 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 Lumino MCP Server. Nothing to install.
list_recent_pipeline_runs 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_recent_pipeline_runs 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_recent_pipeline_runs. 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_recent_pipeline_runs is provided by the Lumino MCP Server MCP server (lumino-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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