returns Gretl help for a command.
Part of the Gretl MCP server.
Free to start. No card required.
AI agents invoke gretl_help to trigger processes or run actions in Gretl MCP. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
gretl_help can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"gretl_help": {
"limits": [
{
"counter": "gretl_help_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Gretl MCP policy for all 12 tools.
These attack patterns abuse exactly the kind of access gretl_help gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
returns Gretl help for a command.. It is categorised as a Execute tool in the Gretl MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gretl MCP server in PolicyLayer and add a rule for gretl_help: 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 Gretl MCP. Nothing to install.
gretl_help is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the gretl_help 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 gretl_help. 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.
gretl_help is provided by the Gretl MCP server (gretl-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 12 Gretl MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.