Retrieves information for a specific text item on the current board.
AI agents call get_text_item to retrieve information from Miro MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a query operation that fetches data from a Miro board without creating, modifying, deleting, or executing any operations. It has no side effects and poses minimal risk as it only reads existing text item information.
From the tool's definition Tool name is 'get_text_item' and description states 'Retrieves information for a specific text item on the current board.' The verb 'retrieves' and the read-only nature of querying existing data without modification.
Documented attack patterns abuse exactly the kind of access get_text_item gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Miro MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_text_item:
{
"version": "1",
"default": "deny",
"tools": {
"get_text_item": {}
}
} get_text_item is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieves information for a specific text item on the current board. It is categorised as a Read tool in the Miro MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Miro MCP Server MCP server in PolicyLayer and add a rule for get_text_item: 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 Miro MCP Server. Nothing to install.
get_text_item 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_text_item 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_text_item. 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_text_item is provided by the Miro MCP Server MCP server (luotocompany/mcp-server-miro). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Miro 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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30 Miro MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.