Low Risk

EarningsController-searchEarnings

List/search earnings/staking pools for pacific-1. When search_terms omitted, returns top pools (max 50).

How to control EarningsController-searchEarnings ↓

What EarningsController-searchEarnings does on Seitrace Insights MCP Server

AI agents call EarningsController-searchEarnings to retrieve information from Seitrace Insights MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why EarningsController-searchEarnings needs a policy

This tool retrieves information about earnings and staking pools from the blockchain. It performs a search/list operation with no side effects—it cannot modify data, execute transactions, delete records, or move funds. The 'max 50' result limit further indicates simple data enumeration. Even if misused by an AI agent, it can only read publicly available blockchain data, posing minimal risk.

From the tool's definition Tool description uses 'List/search' and 'returns top pools', indicating data retrieval with no modification or execution. The endpoint name 'searchEarnings' and context of querying blockchain data (staking pools) confirms this is a query operation.

Documented attack patterns abuse exactly the kind of access EarningsController-searchEarnings gives an agent:

How to control EarningsController-searchEarnings

PolicyLayer is an MCP gateway — it sits between your AI agents and Seitrace Insights MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for EarningsController-searchEarnings:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "EarningsController-searchEarnings": {}
  }
}

EarningsController-searchEarnings is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Seitrace Insights MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about EarningsController-searchEarnings

What does the EarningsController-searchEarnings tool do? +

List/search earnings/staking pools for pacific-1. When search_terms omitted, returns top pools (max 50). It is categorised as a Read tool in the Seitrace Insights MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on EarningsController-searchEarnings? +

Register the Seitrace Insights MCP Server MCP server in PolicyLayer and add a rule for EarningsController-searchEarnings: 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 Seitrace Insights MCP Server. Nothing to install.

What risk level is EarningsController-searchEarnings? +

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

Can I rate-limit EarningsController-searchEarnings? +

Yes. Add a rate_limit block to the EarningsController-searchEarnings 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 EarningsController-searchEarnings completely? +

Set action: deny in the PolicyLayer policy for EarningsController-searchEarnings. 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 EarningsController-searchEarnings? +

EarningsController-searchEarnings is provided by the Seitrace Insights MCP Server MCP server (seitrace/seitrace-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Seitrace Insights MCP Server tool call.

Start from Seitrace Insights MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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52 Seitrace Insights MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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