Retourne le détail d
AI agents call get_view to retrieve information from Mcp Archimate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves details about a view in an ArchiMate enterprise architecture model without modifying or deleting any data. It is a straightforward query operation with minimal blast radius—the worst outcome of misuse would be unauthorized information disclosure about architectural models, which is a low-severity read risk.
From the tool's definition Tool name 'get_view' and description prefix 'Retourne le détail' (Returns the detail) indicate a retrieval/query operation on an ArchiMate model view. No modification, deletion, or execution capability is evident.
Attacks that exploit this kind of access
Retourne le détail d. It is categorised as a Read tool in the Mcp Archimate MCP Server, which means it retrieves data without modifying state.
Register the Mcp Archimate MCP server in PolicyLayer and add a rule for get_view: 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 Mcp Archimate. Nothing to install.
get_view 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 get_view 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 get_view. 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.
get_view is provided by the Mcp Archimate MCP server (lacrif/mcp-archimate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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