deploy-changes

Deploy changes to an environment. Context-aware: requires appropriate actor_role for production deployments.

Server Stage0 Authorization MCP Server starlight143/mcp-server-stage0-authorization
Category Execute
Risk class High
Parameters 00 required

What deploy-changes does on Stage0 Authorization MCP Server

AI agents invoke deploy-changes to trigger actions in Stage0 Authorization 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.

Why deploy-changes needs a policy

This tool triggers deployment operations that execute code/configuration changes in external environments, making it Execute rather than Write. While potentially reversible via rollback, the primary function is to execute a deployment action. Severity is high due to potential blast radius affecting production systems.

From the tool's definition Tool name and description indicate 'Deploy changes to an environment' which executes a deployment operation with side effects.

Questions about deploy-changes

What does the deploy-changes tool do? +

Deploy changes to an environment. Context-aware: requires appropriate actor_role for production deployments. It is categorised as a Execute tool in the Stage0 Authorization MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on deploy-changes? +

Register the Stage0 Authorization MCP Server MCP server in PolicyLayer and add a rule for deploy-changes: 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 Stage0 Authorization MCP Server. Nothing to install.

What risk level is deploy-changes? +

deploy-changes is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit deploy-changes? +

Yes. Add a rate_limit block to the deploy-changes 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 deploy-changes completely? +

Set action: deny in the PolicyLayer policy for deploy-changes. 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 deploy-changes? +

deploy-changes is provided by the Stage0 Authorization MCP Server MCP server (starlight143/mcp-server-stage0-authorization). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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