Internal — save agent.md content for a role.
Risk signalsAccepts raw HTML/template content (content)
Part of the BrainFlow server.
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AI agents use save-agent-config to create or modify resources in BrainFlow. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call save-agent-config repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach BrainFlow.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"save-agent-config": {
"limits": [
{
"counter": "save-agent-config_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full BrainFlow policy for all 12 tools.
These attack patterns abuse exactly the kind of access save-agent-config gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Internal — save agent.md content for a role.. It is categorised as a Write tool in the BrainFlow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the BrainFlow MCP server in PolicyLayer and add a rule for save-agent-config: 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 BrainFlow. Nothing to install.
save-agent-config 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 save-agent-config 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 save-agent-config. 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.
save-agent-config is provided by the BrainFlow MCP server (https://alpichack-3c740d01.alpic.live). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 12 BrainFlow 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.