Medium Risk

logs_indexes

Manage Datadog Logs indexes (filters, retention, exclusion filters, daily limits). Actions: list, get, update, reorder, get_order. Datadog identifies indexes by

Part of the Datadog server.

logs_indexes can modify Datadog data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use logs_indexes to create or modify resources in Datadog. 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 logs_indexes 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 Datadog.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "logs_indexes": {
      "limits": [
        {
          "counter": "logs_indexes_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Datadog policy for all 23 tools.

Get this rule live on your own Datadog server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access logs_indexes gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so logs_indexes only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the logs_indexes tool do? +

Manage Datadog Logs indexes (filters, retention, exclusion filters, daily limits). Actions: list, get, update, reorder, get_order. Datadog identifies indexes by. It is categorised as a Write tool in the Datadog MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on logs_indexes? +

Register the Datadog MCP server in PolicyLayer and add a rule for logs_indexes: 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.

What risk level is logs_indexes? +

logs_indexes is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit logs_indexes? +

Yes. Add a rate_limit block to the logs_indexes 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.

How do I block logs_indexes completely? +

Set action: deny in the PolicyLayer policy for logs_indexes. 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.

What MCP server provides logs_indexes? +

logs_indexes 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.

Enforce policy on every Datadog tool call.

Deterministic rules across all 23 Datadog tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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