Low Risk

user_likes

User's liked photos.

Part of the Unsplash server.

user_likes 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.

SECURE UNSPLASH →

Free to start. No card required.

AI agents call user_likes to retrieve information from Unsplash 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 user_likes 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": {
    "user_likes": {}
  }
}

See the full Unsplash policy for all 35 tools.

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

ENFORCE ON MY UNSPLASH →

View all 35 tools →

These attack patterns abuse exactly the kind of access user_likes 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 user_likes only ever does what you allow.

SECURE UNSPLASH →

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

What does the user_likes tool do? +

User's liked photos.. It is categorised as a Read tool in the Unsplash MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on user_likes? +

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

What risk level is user_likes? +

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

Can I rate-limit user_likes? +

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

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

user_likes is provided by the Unsplash MCP server (https://gateway.pipeworx.io/unsplash/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Unsplash tool call.

Deterministic rules across all 35 Unsplash 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.