Medium Risk

save_answer_query_direct

Answers a natural language query using only the internal knowledge of the configured Vertex AI model (${modelIdPlaceholder}), does not use web search, and saves the answer to a file. Requires

How to control save_answer_query_direct ↓

AI agents use save_answer_query_direct to create or update resources in Vertex AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vertex AI MCP Server environment.

Medium Risk

The tool performs a Write action by persisting generated content to a file system. While the underlying query answering is a Read operation, the save operation makes this a Write-category tool.

From the tool's definition Tool description states it 'saves the answer to a file' - this is a create/modify operation that writes data to storage.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "save_answer_query_direct": {
      "limits": [
        {
          "counter": "save_answer_query_direct_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

save_answer_query_direct stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Vertex AI 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.
LIMIT THIS TOOL →

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Go deeper

What does the save_answer_query_direct tool do? +

Answers a natural language query using only the internal knowledge of the configured Vertex AI model (${modelIdPlaceholder}), does not use web search, and saves the answer to a file. Requires. It is categorised as a Write tool in the Vertex AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_answer_query_direct? +

Register the Vertex AI MCP Server MCP server in PolicyLayer and add a rule for save_answer_query_direct: 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 Vertex AI MCP Server. Nothing to install.

What risk level is save_answer_query_direct? +

save_answer_query_direct is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit save_answer_query_direct? +

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

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

save_answer_query_direct is provided by the Vertex AI MCP Server MCP server (shariqriazz/vertex-ai-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 Vertex AI MCP Server tool call.

Deterministic rules across all 20 Vertex AI MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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20 Vertex AI MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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