get_icon
AI agents call get_icon to retrieve information from Tech Icons without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves icon data from a static library. There are no side effects, data modification, external execution, destructive operations, or financial implications. The worst-case misuse would be excessive data retrieval (denial of service), but the tool itself performs only read operations. Severity is low because icon resources are non-sensitive, read-only assets used for diagrams.
From the tool's definition Tool is part of a server providing access to pre-built cloud technology icons (AWS, Azure, GCP, etc.) for presentations and architecture diagrams.
Attacks that exploit this kind of access
get_icon. It is categorised as a Read tool in the Tech Icons MCP Server, which means it retrieves data without modifying state.
Register the Tech Icons MCP server in PolicyLayer and add a rule for get_icon: 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 Tech Icons. Nothing to install.
get_icon 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_icon 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_icon. 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_icon is provided by the Tech Icons MCP server (zhiweio/tech-icons). 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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