AI agents use call_tool_logger_manager to create or update resources in Superkit — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Superkit environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | — | |
action | string | Yes | |
outcome | string | — | |
projectPath | string | Yes |
Parameters from the server's own tool schema.
The tool manages logging operations including log rotation, which involves writing log data and potentially overwriting/rotating log files. 'Manages' implies active modification of logging state. Log rotation could overwrite or truncate old logs, but this is a standard reversible write/administrative operation rather than a fully destructive one.
From the tool's definition 'Manages tool logging operations (skills, workflows, log rotation)'
Attacks that exploit this kind of access
Manages tool logging operations (skills, workflows, log rotation). It is categorised as a Write tool in the Superkit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
call_tool_logger_manager accepts 4 parameters: name, action, outcome, projectPath. Required: action, projectPath. The full parameter table on this page comes from the server's own tool schema.
Register the Superkit MCP server in PolicyLayer and add a rule for call_tool_logger_manager: 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 Superkit. Nothing to install.
call_tool_logger_manager is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the call_tool_logger_manager 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 call_tool_logger_manager. 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.
call_tool_logger_manager is provided by the Superkit MCP server (superkit-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.
Teams ship this data inside their own products. See what a licence covers →