Low Risk

vector_query

vector_query

How to control vector_query ↓

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

Low Risk

The name 'vector_query' strongly implies querying/reading vector geospatial data, consistent with the sibling 'raster_query' tool in a GDAL/Rasterio context. However, 'query' tools can sometimes execute arbitrary expressions or SQL against datasets (e.g., OGR SQL), which could escalate to Execute. With an empty description, confidence is reduced.

From the tool's definition Tool name 'vector_query' and sibling tool pattern (raster_query exists alongside raster_info which is clearly read-only); however, description is empty and uninformative.

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

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

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

vector_query 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 Gdal — 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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Go deeper

What does the vector_query tool do? +

vector_query. It is categorised as a Read tool in the Gdal MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on vector_query? +

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

What risk level is vector_query? +

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

Can I rate-limit vector_query? +

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

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

vector_query is provided by the Gdal MCP server (jordangunn/gdal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gdal tool call.

Deterministic rules across all 13 Gdal tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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