AI agents call raster_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.
Based on naming convention and context of sibling tools, 'raster_query' most likely retrieves or inspects raster data without modifying it, fitting the Read category. The empty description prevents higher confidence, but the pattern of similar tools (raster_info, raster_stats, vector_query) all being read-only queries supports this classification.
From the tool's definition Tool name is 'raster_query' and sibling tools include 'raster_info', 'raster_stats', 'vector_query', and 'vector_info' which are clearly Read operations. The naming pattern suggests querying/inspection rather than modification.
Documented attack patterns abuse exactly the kind of access raster_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 raster_query:
{
"version": "1",
"default": "deny",
"tools": {
"raster_query": {}
}
}raster_query is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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raster_query. It is categorised as a Read tool in the Gdal MCP Server, which means it retrieves data without modifying state.
Register the Gdal MCP server in PolicyLayer and add a rule for raster_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.
raster_query is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the raster_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.
Set action: deny in the PolicyLayer policy for raster_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.
raster_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.
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.