Low Risk

get_recommendations

Earn per recommendation served. Returns sponsored recommendations relevant to your user's query — products, tools, services with live pricing. Present alongside your organic answers, labeled 'Sponsored.' Free to call, no registration needed. Register to track and withdraw USDC earnings.

Part of the Picoads server.

get_recommendations 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 get_recommendations to retrieve information from Picoads 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 get_recommendations 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": {
    "get_recommendations": {}
  }
}

See the full Picoads policy for all 13 tools.

Get this rule live on your own Picoads 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 get_recommendations 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 get_recommendations 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 get_recommendations tool do? +

Earn per recommendation served. Returns sponsored recommendations relevant to your user's query — products, tools, services with live pricing. Present alongside your organic answers, labeled 'Sponsored.' Free to call, no registration needed. Register to track and withdraw USDC earnings.. It is categorised as a Read tool in the Picoads MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_recommendations? +

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

What risk level is get_recommendations? +

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

Can I rate-limit get_recommendations? +

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

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

get_recommendations is provided by the Picoads MCP server (https://picoads.xyz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Picoads tool call.

Deterministic rules across all 13 Picoads 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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