AI agents use save_token to create or update resources in Todo MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Todo MCP Server environment.
This tool creates or stores authentication tokens, a reversible write operation. While token storage is security-sensitive, it does not irreversibly delete data (not Destructive), execute arbitrary code (not Execute), or move money (not Financial).
From the tool's definition Tool persists authentication credentials ('Save your Kinde authentication token for future use'), which modifies stored state and security posture.
Documented attack patterns abuse exactly the kind of access save_token gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Todo MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for save_token:
{
"version": "1",
"default": "deny",
"tools": {
"save_token": {
"limits": [
{
"counter": "save_token_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}save_token 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.
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Save your Kinde authentication token for future use. It is categorised as a Write tool in the Todo MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Todo MCP Server MCP server in PolicyLayer and add a rule for save_token: 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 Todo MCP Server. Nothing to install.
save_token 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_token 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_token. 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_token is provided by the Todo MCP Server MCP server (sholajegede/todo_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Todo MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 Todo MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.