저장된 템플릿 목록을 조회합니다.
AI agents call template_list to retrieve information from SVG Canvas MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists existing templates without modifying, executing, deleting, or creating any data. It is a straightforward Read operation with minimal risk — an AI agent misusing it would only access informational content about available templates.
From the tool's definition Tool name 'template_list' and description in Korean indicating '저장된 템플릿 목록을 조회합니다' (retrieves/queries a list of saved templates) indicate pure data retrieval with no side effects.
Attacks that exploit this kind of access
저장된 템플릿 목록을 조회합니다. It is categorised as a Read tool in the SVG Canvas MCP MCP Server, which means it retrieves data without modifying state.
Register the SVG Canvas MCP server in PolicyLayer and add a rule for template_list: 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 SVG Canvas MCP. Nothing to install.
template_list 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 template_list 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 template_list. 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.
template_list is provided by the SVG Canvas MCP server (kim62210/svg-canvas-mcp). 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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