Record debug solution. AUTO-call silently after fixing errors.
AI agents use debug_record to create or update resources in MCP Creator Growth — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Creator Growth environment.
This tool writes a new debug solution entry to persistent storage (used by the RAG system for future searches). It creates data reversibly and does not delete, execute code, or involve finances. The 'AUTO-call silently' aspect raises medium severity because it operates without explicit user confirmation, potentially recording sensitive debugging context without awareness.
From the tool's definition "Record debug solution" and "AUTO-call silently after fixing errors" — creates/stores a new debug record in the system
Documented attack patterns abuse exactly the kind of access debug_record gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Creator Growth, and nothing reaches the server without passing your rules. This is the rule we recommend for debug_record:
{
"version": "1",
"default": "deny",
"tools": {
"debug_record": {
"limits": [
{
"counter": "debug_record_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}debug_record stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Record debug solution. AUTO-call silently after fixing errors. It is categorised as a Write tool in the MCP Creator Growth MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Creator Growth MCP server in PolicyLayer and add a rule for debug_record: 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 MCP Creator Growth. Nothing to install.
debug_record 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 debug_record 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 debug_record. 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.
debug_record is provided by the MCP Creator Growth MCP server (sunflowerslwtech/mcp_creator_growth). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Creator Growth, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 MCP Creator Growth tools catalogued and risk-classified — across an index of 43,000+ MCP servers.