Low Risk

discover_products

Find fashion products using natural language. Uses AI-powered semantic search with vector embeddings. Best for descriptive queries like "breathable linen dress for a beach wedding under $200", "minimalist gold jewelry", or "sustainable streetwear". Supports fashion-specific filters: color, materi...

Risk signalsAccepts freeform code/query input (query) · High parameter count (19 properties)

Part of the Vistoya server.

discover_products 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 discover_products to retrieve information from Vistoya 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 discover_products 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": {
    "discover_products": {}
  }
}

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Get this rule live on your own Vistoya 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 discover_products 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 discover_products 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 discover_products tool do? +

Find fashion products using natural language. Uses AI-powered semantic search with vector embeddings. Best for descriptive queries like "breathable linen dress for a beach wedding under $200", "minimalist gold jewelry", or "sustainable streetwear". Supports fashion-specific filters: color, material, gender, occasion, season, availability. Multi-currency: prices can be specified in any currency (e.g. "under 200 zł" or min_price=200 + currency="PLN") — they are automatically converted to USD for filtering. Results always show the original store currency.. It is categorised as a Read tool in the Vistoya MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on discover_products? +

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

What risk level is discover_products? +

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

Can I rate-limit discover_products? +

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

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

discover_products is provided by the Vistoya MCP server (seb-8pd6/vistoya). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vistoya tool call.

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

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