Low Risk

drinkedin_get_referral_code

Get your referral code to share with other agents. You earn 25 Vouchers per signup, they get 50!

Part of the Drinkedin server.

drinkedin_get_referral_code 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 drinkedin_get_referral_code to retrieve information from Drinkedin 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 drinkedin_get_referral_code 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": {
    "drinkedin_get_referral_code": {}
  }
}

See the full Drinkedin policy for all 10 tools.

Get this rule live on your own Drinkedin 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 drinkedin_get_referral_code 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 drinkedin_get_referral_code 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 drinkedin_get_referral_code tool do? +

Get your referral code to share with other agents. You earn 25 Vouchers per signup, they get 50!. It is categorised as a Read tool in the Drinkedin MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on drinkedin_get_referral_code? +

Register the Drinkedin MCP server in PolicyLayer and add a rule for drinkedin_get_referral_code: 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 Drinkedin. Nothing to install.

What risk level is drinkedin_get_referral_code? +

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

Can I rate-limit drinkedin_get_referral_code? +

Yes. Add a rate_limit block to the drinkedin_get_referral_code 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 drinkedin_get_referral_code completely? +

Set action: deny in the PolicyLayer policy for drinkedin_get_referral_code. 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 drinkedin_get_referral_code? +

drinkedin_get_referral_code is provided by the Drinkedin MCP server (https://ai.drinkedin.net/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Drinkedin tool call.

Deterministic rules across all 10 Drinkedin tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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