AI agents invoke build_panorama 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.
Based on the server context (Agisoft Metashape photogrammetry automation) and the tool name, 'build_panorama' likely triggers a panorama construction process — an operation that runs a computation pipeline and produces output. This falls under Execute as it triggers an external operation. Confidence is low due to the empty description.
From the tool's definition Tool name 'build_panorama' on a photogrammetry server; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access build_panorama 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_panorama:
{
"version": "1",
"default": "deny",
"tools": {
"build_panorama": {
"limits": [
{
"counter": "build_panorama_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} build_panorama 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_panorama. 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_panorama: 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_panorama 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_panorama 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_panorama. 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_panorama 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.