Low Risk

discover_opportunities

[IN DEVELOPMENT] [READ] Unified search across earn + spend verticals. Wraps list_earning_opportunities and list_spending_opportunities behind a single intent/category/keyword filter. Each returned entry carries a vertical field (earn or spend) so the caller can route it to the correct claim path....

Part of the Swarm Tips — Aggregated AI Agent Activities server.

discover_opportunities 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_opportunities to retrieve information from Swarm Tips — Aggregated AI Agent Activities 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_opportunities 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_opportunities": {}
  }
}

See the full Swarm Tips — Aggregated AI Agent Activities policy for all 33 tools.

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These attack patterns abuse exactly the kind of access discover_opportunities 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 discover_opportunities 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_opportunities tool do? +

[IN DEVELOPMENT] [READ] Unified search across earn + spend verticals. Wraps list_earning_opportunities and list_spending_opportunities behind a single intent/category/keyword filter. Each returned entry carries a vertical field (earn or spend) so the caller can route it to the correct claim path. Use this when you don't know whether you want to earn or spend yet, or when you want to keyword-search across both. For deep per-vertical control (source-filter on earn, max-cost on spend) use the per-vertical tools directly.. It is categorised as a Read tool in the Swarm Tips — Aggregated AI Agent Activities MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on discover_opportunities? +

Register the Swarm Tips — Aggregated AI Agent Activities MCP server in PolicyLayer and add a rule for discover_opportunities: 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 Swarm Tips — Aggregated AI Agent Activities. Nothing to install.

What risk level is discover_opportunities? +

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

Can I rate-limit discover_opportunities? +

Yes. Add a rate_limit block to the discover_opportunities 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_opportunities completely? +

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

discover_opportunities is provided by the Swarm Tips — Aggregated AI Agent Activities MCP server (https://mcp.swarm.tips/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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