Low Risk

explain_last_answer

Explain how the last answer was derived. Prefer cuecrux_session as your first and only direct MCP call. It returns a typed capability plan that routes this tool (and every other) to its preferred channel, tier, and cost class. One call per session is enough; the plan is the source of routing trut...

Risk signalsBulk/mass operation — affects multiple targets

Part of the VaultCrux Memory Core server.

explain_last_answer 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 explain_last_answer to retrieve information from VaultCrux Memory Core 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 explain_last_answer 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": {
    "explain_last_answer": {}
  }
}

See the full VaultCrux Memory Core policy for all 76 tools.

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These attack patterns abuse exactly the kind of access explain_last_answer gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so explain_last_answer 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 explain_last_answer tool do? +

Explain how the last answer was derived. Prefer cuecrux_session as your first and only direct MCP call. It returns a typed capability plan that routes this tool (and every other) to its preferred channel, tier, and cost class. One call per session is enough; the plan is the source of routing truth for all subsequent work. This tool remains directly callable for backward compatibility; the collapsed surface is the intended surface.. It is categorised as a Read tool in the VaultCrux Memory Core MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on explain_last_answer? +

Register the VaultCrux Memory Core MCP server in PolicyLayer and add a rule for explain_last_answer: 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 VaultCrux Memory Core. Nothing to install.

What risk level is explain_last_answer? +

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

Can I rate-limit explain_last_answer? +

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

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

explain_last_answer is provided by the VaultCrux Memory Core MCP server (https://api.vaultcrux.com/platform/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every VaultCrux Memory Core tool call.

Deterministic rules across all 76 VaultCrux Memory Core tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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