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load_model

Load a 3D CAD model into the Eyeshot engine from a designated file path.

SERVERTesseract 26 Eyeshot SOURCEa-001-byte/tesseract-26-eyeshot-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade B, identity unverified Pull the record →

This record as markdown: /tools/a-001-byte-tesseract-26-eyeshot-mcp/load-model.md

What load_model does on Tesseract 26 Eyeshot

AI agents call load_model to retrieve information from Tesseract 26 Eyeshot without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why load_model is rated Low

This tool retrieves and imports an existing CAD model file into memory/an engine. While it may have downstream effects on the engine state, the tool itself performs a read operation—acquiring data from storage without modifying, deleting, or executing arbitrary code. The action is reversible (unload/clear the model) and has no destructive or financial impact.

From the tool's definition The tool 'load_model' reads and loads a 3D CAD model from a file path into the Eyeshot engine. The description indicates data retrieval ('Load...from a designated file path') with no modification, deletion, or code execution capability—it is a read operation…

Questions about load_model

What does the load_model tool do? +

Load a 3D CAD model into the Eyeshot engine from a designated file path. It is categorised as a Read tool in the Tesseract 26 Eyeshot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on load_model? +

Register the Tesseract 26 Eyeshot MCP server in PolicyLayer and add a rule for load_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 Tesseract 26 Eyeshot. Nothing to install.

What risk level is load_model? +

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

Can I rate-limit load_model? +

Yes. Add a rate_limit block to the load_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.

How do I block load_model completely? +

Set action: deny in the PolicyLayer policy for load_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.

What MCP server provides load_model? +

load_model is provided by the Tesseract 26 Eyeshot MCP server (a-001-byte/tesseract-26-eyeshot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Tesseract 26 Eyeshot, and thousands of servers like it.

Across the catalogue

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PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Tesseract 26 Eyeshot's. Pull the full record:

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