Low Risk

pilot_assert

Assert a condition about the current page state and fail with a structured error if the assertion is not met. Use when the user wants to verify the outcome of an action — that a URL was reached, text is present or absent, an element is visible/hidden/enabled, or an input has a specific value. Ret...

How to control pilot_assert ↓

AI agents call pilot_assert to retrieve information from Pilot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool only reads/inspects the current page state (URL, visible text, element properties) and returns a pass/fail result. It does not modify, execute, or delete anything — it is purely a verification/observation operation.

From the tool's definition Assert a condition about the current page state and fail with a structured error if the assertion is not met

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "pilot_assert": {}
  }
}

pilot_assert 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 Pilot — 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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Free to start. No card required.

Go deeper

What does the pilot_assert tool do? +

Assert a condition about the current page state and fail with a structured error if the assertion is not met. Use when the user wants to verify the outcome of an action — that a URL was reached, text is present or absent, an element is visible/hidden/enabled, or an input has a specific value. Returns a clear pass/fail signal for agent-driven test flows. Parameters: - url: Assert the current page URL equals or contains this string - text_present: Assert this text is visible somewhere on the page (waits up to 5s) - text_absent: Assert this text is NOT visible on the page - ref: Element ref (@eN) to assert a state or value on - state: Expected element state —. It is categorised as a Read tool in the Pilot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pilot_assert? +

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

What risk level is pilot_assert? +

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

Can I rate-limit pilot_assert? +

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

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

pilot_assert is provided by the Pilot MCP server (tacosyhorchata/pilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pilot tool call.

Deterministic rules across all 61 Pilot tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

61 Pilot tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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