AI agents invoke build_tiled_model to trigger actions in Metashape MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers a complex external operation (3D model construction) whose outcome depends on the photogrammetry project state and parameters. It is not a simple read/query operation, nor does it merely create reversible metadata (Write category). The operation modifies the project state irreversibly by generating large 3D geometry assets.
From the tool's definition Tool named 'build_tiled_model' on a Metashape MCP server that 'enables natural language control of photogrammetry tasks such as drone mapping, 3D model generation.' Building a tiled model is a computationally intensive operation that processes camera-aligned…
Documented attack patterns abuse exactly the kind of access build_tiled_model gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Metashape MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for build_tiled_model:
{
"version": "1",
"default": "deny",
"tools": {
"build_tiled_model": {
"limits": [
{
"counter": "build_tiled_model_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} build_tiled_model stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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build_tiled_model. It is categorised as a Execute tool in the Metashape MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Metashape MCP Server MCP server in PolicyLayer and add a rule for build_tiled_model: 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 Metashape MCP Server. Nothing to install.
build_tiled_model is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the build_tiled_model 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 build_tiled_model. 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.
build_tiled_model is provided by the Metashape MCP Server MCP server (jenkinsm13/metashape-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Metashape MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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112 Metashape MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.