Manually trigger a pipeline execution. This will start an immediate run of the pipeline with optional parameters.
AI agents invoke binelek_trigger_pipeline to trigger actions in Binelek MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Triggering pipeline execution is an Execute action because it initiates automated processes whose side effects (data processing, transformations, external API calls, etc.) are dependent on the pipeline's configuration and parameters. While not necessarily destructive on its own, pipelines commonly perform writes, deletions, or calls to external systems.
From the tool's definition "Manually trigger a pipeline execution" and "start an immediate run of the pipeline with optional parameters" — the tool executes external operations (pipeline execution) whose effects depend on provided arguments.
Attacks that exploit this kind of access
Manually trigger a pipeline execution. This will start an immediate run of the pipeline with optional parameters. It is categorised as a Execute tool in the Binelek MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Binelek MCP Server MCP server in PolicyLayer and add a rule for binelek_trigger_pipeline: 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 Binelek MCP Server. Nothing to install.
binelek_trigger_pipeline is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the binelek_trigger_pipeline 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 binelek_trigger_pipeline. 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.
binelek_trigger_pipeline is provided by the Binelek MCP Server MCP server (k5tuck/binelek-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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