module_deploy_status
ADMIN: read-only runtime gate for a module on a target
This record as markdown: /tools/rosenvladimirov-odoo-claude-mcp/module-deploy-status.md
What module_deploy_status does on Odoo Claude MCP
AI agents call module_deploy_status to retrieve information from Odoo Claude MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why module_deploy_status is rated Low
Tool only reads deployment status of a module, no side effects.
From the tool's definition read-only runtime gate for a module on a target
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs module_deploy_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Odoo Claude MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For module_deploy_status, this is the rule to start with:
module_deploy_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Odoo Claude MCP, apply this rule, and every module_deploy_status call is checked against it from then on.
Questions about module_deploy_status
ADMIN: read-only runtime gate for a module on a target. It is categorised as a Read tool in the Odoo Claude MCP MCP Server, which means it retrieves data without modifying state.
Register the Odoo Claude MCP server in PolicyLayer and add a rule for module_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 Odoo Claude MCP. Nothing to install.
module_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 module_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 module_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.
module_deploy_status is provided by the Odoo Claude MCP server (rosenvladimirov/odoo-claude-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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