AI agents call text_count to retrieve information from Onion without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs purely analytical operations on text—counting words, lines, characters, and paragraphs. It reads input text and returns metrics without creating, modifying, deleting, executing code, or affecting external systems. This is a straightforward Read operation with minimal security risk.
From the tool's definition Tool name 'text_count' and description '统计文本的字数、行数、字符数、段落数等信息' (count text word count, line count, character count, paragraph count, etc.) indicate the tool retrieves and reports statistics about text without modification.
Attacks that exploit this kind of access
统计文本的字数、行数、字符数、段落数等信息。. It is categorised as a Read tool in the Onion MCP Server, which means it retrieves data without modifying state.
Register the Onion MCP server in PolicyLayer and add a rule for text_count: 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 Onion. Nothing to install.
text_count 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 text_count 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 text_count. 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.
text_count is provided by the Onion MCP server (onion-ai/mcp-server). 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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