Low Risk

validate_auth

Validates OAuth 2.1, API key, or bearer token authentication configuration for an MCP server. Checks for proper PKCE usage, token storage security, redirect URI validation, token expiration settings, and overall auth best practices.

Risk signalsHandles credentials or secrets (authConfig.apiKey) · High parameter count (35 properties)

Part of the Security Scanner server.

validate_auth is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call validate_auth to retrieve information from Security Scanner without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though validate_auth only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "validate_auth": {}
  }
}

See the full Security Scanner policy for all 5 tools.

Get this rule live on your own Security Scanner 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 validate_auth gives an agent. Each links to the full case and the policy that stops it:

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the validate_auth tool do? +

Validates OAuth 2.1, API key, or bearer token authentication configuration for an MCP server. Checks for proper PKCE usage, token storage security, redirect URI validation, token expiration settings, and overall auth best practices.. It is categorised as a Read tool in the Security Scanner MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_auth? +

Register the Security Scanner MCP server in PolicyLayer and add a rule for validate_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 Security Scanner. Nothing to install.

What risk level is validate_auth? +

validate_auth is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit validate_auth? +

Yes. Add a rate_limit block to the validate_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.

How do I block validate_auth completely? +

Set action: deny in the PolicyLayer policy for validate_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.

What MCP server provides validate_auth? +

validate_auth is provided by the Security Scanner MCP server (mcp-server-security-scanner). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Security Scanner tool call.

Deterministic rules across all 5 Security Scanner tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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