Run an existing Sanka-native workflow definition. HubSpot workflow creation and updates use create_workflow/update_workflow with provider=hubspot.
AI agents invoke run_workflow to trigger actions in Sanka 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.
The tool executes a predefined workflow, which is an operational action that triggers automation logic external to the MCP server itself. While the specific side effects depend on what the workflow contains, execution tools that trigger business processes (especially when considering sibling tools like activate_invoice, activate_order, approve_payroll_run) pose significant risk if invoked with incorrect parameters…
From the tool's definition Tool performs 'Run an existing Sanka-native workflow definition' — a workflow execution that triggers external operations whose effects depend on the workflow's configured logic and arguments.
Attacks that exploit this kind of access
Run an existing Sanka-native workflow definition. HubSpot workflow creation and updates use create_workflow/update_workflow with provider=hubspot. It is categorised as a Execute tool in the Sanka MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sanka MCP Server MCP server in PolicyLayer and add a rule for run_workflow: 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 Sanka MCP Server. Nothing to install.
run_workflow 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 run_workflow 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 run_workflow. 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.
run_workflow is provided by the Sanka MCP Server MCP server (sankahq/sanka-mcp). 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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