Describe the callback URL and state/code handling required by CentralAuth.
Part of the Centralauth server.
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AI agents use explain_callback_setup to create or modify resources in Centralauth. 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 explain_callback_setup 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 Centralauth.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"explain_callback_setup": {
"limits": [
{
"counter": "explain_callback_setup_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Centralauth policy for all 12 tools.
These attack patterns abuse exactly the kind of access explain_callback_setup 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.
Describe the callback URL and state/code handling required by CentralAuth.. It is categorised as a Write tool in the Centralauth MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Centralauth MCP server in PolicyLayer and add a rule for explain_callback_setup: 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 Centralauth. Nothing to install.
explain_callback_setup 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 explain_callback_setup 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 explain_callback_setup. 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.
explain_callback_setup is provided by the Centralauth MCP server (centralauth-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 12 Centralauth tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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