load_workflow

Load and parse a workflow YAML file. Returns steps, devices, and configuration.

Server Shotter nathanstitt/shotter
Category Read
Risk class Low
Parameters 00 required

What load_workflow does on Shotter

AI agents call load_workflow to retrieve information from Shotter without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why load_workflow needs a policy

This tool retrieves and parses workflow configuration from a YAML file, returning its contents for inspection. It performs no write, deletion, code execution, or state modification. The sibling tools (ui_tap, ui_swipe, launch_app) perform the actual interactions; load_workflow only reads and interprets the workflow definition.

From the tool's definition load_workflow 'Load and parse a workflow YAML file. Returns steps, devices, and configuration.' — reads and parses file content with no mutation or execution side effects.

Questions about load_workflow

What does the load_workflow tool do? +

Load and parse a workflow YAML file. Returns steps, devices, and configuration. It is categorised as a Read tool in the Shotter MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on load_workflow? +

Register the Shotter MCP server in PolicyLayer and add a rule for load_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 Shotter. Nothing to install.

What risk level is load_workflow? +

load_workflow is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit load_workflow? +

Yes. Add a rate_limit block to the load_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.

How do I block load_workflow completely? +

Set action: deny in the PolicyLayer policy for load_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.

What MCP server provides load_workflow? +

load_workflow is provided by the Shotter MCP server (nathanstitt/shotter). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.