Validate Datadog API credentials. Use this to verify that the API key and App key are correctly configured before performing other operations.
Part of the Datadog server.
Free to start. No card required.
AI agents call auth to perform operations in Datadog. While the risk category is not fully classified, applying a rate limit gives you visibility into how often the tool is called and prevents unexpected bursts of activity from autonomous agents.
Applying a policy to auth gives you an audit trail of every call an AI agent makes. Even for low-risk tools, visibility into agent behaviour helps you debug issues, optimise workflows, and maintain compliance with your organisation's security requirements.
Apply a rate limit to control usage and monitor for unexpected behaviour.
{
"version": "1",
"default": "deny",
"tools": {
"auth": {
"limits": [
{
"counter": "auth_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
}See the full Datadog policy for all 23 tools.
These attack patterns abuse exactly the kind of access auth gives an agent. Each links to the full case and the policy that stops it:
Other other tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Validate Datadog API credentials. Use this to verify that the API key and App key are correctly configured before performing other operations.. It is categorised as a Other tool in the Datadog MCP Server, which means it performs auxiliary operations.
Register the Datadog MCP server in PolicyLayer and add a rule for auth: 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 Datadog. Nothing to install.
auth is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the auth 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 auth. 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.
auth is provided by the Datadog MCP server (datadog-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 23 Datadog 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.