Check the current status of a deployment. Returns progress percentage, current phase, and any errors.
AI agents call check_deploy_status to retrieve information from Otoinstall without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries the status of an existing deployment and returns informational data (progress percentage, phase, errors). It performs no side effects, does not execute commands, does not modify state, and does not delete resources. It is a pure read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'check_deploy_status' and description 'Check the current status of a deployment. Returns progress percentage, current phase, and any errors.' indicate retrieval of deployment state information without modifying, executing, or deleting anything.
Attacks that exploit this kind of access
Check the current status of a deployment. Returns progress percentage, current phase, and any errors. It is categorised as a Read tool in the Otoinstall MCP Server, which means it retrieves data without modifying state.
Register the Otoinstall MCP server in PolicyLayer and add a rule for check_deploy_status: 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 Otoinstall. Nothing to install.
check_deploy_status 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 check_deploy_status 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 check_deploy_status. 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.
check_deploy_status is provided by the Otoinstall MCP server (otoinstall-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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