Describes the configuration and parameters of a module inside a Make.com scenario.
AI agents call describe_make_dot_com_module to retrieve information from MakeSync MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns descriptive information about a module's configuration and parameters. It is purely informational with no side effects, mutations, or destructive actions.
From the tool's definition Describes the configuration and parameters of a module inside a Make.com scenario
Attacks that exploit this kind of access
Describes the configuration and parameters of a module inside a Make.com scenario. It is categorised as a Read tool in the MakeSync MCP Server MCP Server, which means it retrieves data without modifying state.
Register the MakeSync MCP Server MCP server in PolicyLayer and add a rule for describe_make_dot_com_module: 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 MakeSync MCP Server. Nothing to install.
describe_make_dot_com_module 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 describe_make_dot_com_module 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 describe_make_dot_com_module. 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.
describe_make_dot_com_module is provided by the MakeSync MCP Server MCP server (sparxhub/mcp-makesync). 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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