example_tool

THE RISK

Low Risk

Why example_tool needs a policy

The description is uninformative and indicates this is a demonstration/example tool rather than one with real operational effects. No actionable behavior can be inferred. Confidence is low due to the lack of meaningful description.

From the tool's definition 'An example tool demonstrating the enhanced plugin format' - description is purely illustrative and reveals no actual functionality

Documented attack patterns abuse exactly the kind of access example_tool gives an agent:

POLICY

How to control example_tool

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "example_tool": {
      "limits": [
        {
          "counter": "example_tool_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

example_tool gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register DeepSource MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about example_tool

What does the example_tool tool do? +

An example tool demonstrating the enhanced plugin format. It is categorised as a Other tool in the DeepSource MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on example_tool? +

Register the DeepSource MCP Server MCP server in PolicyLayer and add a rule for example_tool: 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 DeepSource MCP Server. Nothing to install.

What risk level is example_tool? +

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

Can I rate-limit example_tool? +

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

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

example_tool is provided by the DeepSource MCP Server MCP server (sapientpants/deepsource-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DeepSource MCP Server tool call.

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

CHECK YOUR STACK →