Low Risk

hive_earn_me

Look up the caller agent's registered earn profile, lifetime + pending USDC balance, last payout tx hash, and next-payout ETA. Real Base USDC, no mock data. Calls GET https://hivemorph.onrender.com/v1/earn/me?agent_did=<did>. Returns "rails not yet live" gracefully if upstream is not yet deployed.

Part of the Hive Swap server.

hive_earn_me 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 hive_earn_me to retrieve information from Hive Swap 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 hive_earn_me 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": {
    "hive_earn_me": {}
  }
}

See the full Hive Swap policy for all 5 tools.

Get this rule live on your own Hive Swap 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 hive_earn_me 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 hive_earn_me 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 hive_earn_me tool do? +

Look up the caller agent's registered earn profile, lifetime + pending USDC balance, last payout tx hash, and next-payout ETA. Real Base USDC, no mock data. Calls GET https://hivemorph.onrender.com/v1/earn/me?agent_did=<did>. Returns "rails not yet live" gracefully if upstream is not yet deployed.. It is categorised as a Read tool in the Hive Swap MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on hive_earn_me? +

Register the Hive Swap MCP server in PolicyLayer and add a rule for hive_earn_me: 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 Hive Swap. Nothing to install.

What risk level is hive_earn_me? +

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

Can I rate-limit hive_earn_me? +

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

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

hive_earn_me is provided by the Hive Swap MCP server (https://hive-mcp-swap.onrender.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Hive Swap tool call.

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

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