Analyze the sentiment of a text and classify it as positive, neutral, or negative.
AI agents call sentiment_tool to retrieve information from FastMCP Boilerplate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs read-only analysis on input text, producing a sentiment classification without any side effects, data modification, or external operations. It purely reads/processes the provided text and returns a result.
From the tool's definition Analyze the sentiment of a text and classify it as positive, neutral, or negative.
Documented attack patterns abuse exactly the kind of access sentiment_tool gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and FastMCP Boilerplate, and nothing reaches the server without passing your rules. This is the rule we recommend for sentiment_tool:
{
"version": "1",
"default": "deny",
"tools": {
"sentiment_tool": {}
}
}sentiment_tool is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze the sentiment of a text and classify it as positive, neutral, or negative. It is categorised as a Read tool in the FastMCP Boilerplate MCP Server, which means it retrieves data without modifying state.
Register the FastMCP Boilerplate MCP server in PolicyLayer and add a rule for sentiment_tool: 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 FastMCP Boilerplate. Nothing to install.
sentiment_tool 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 sentiment_tool 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 sentiment_tool. 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.
sentiment_tool is provided by the FastMCP Boilerplate MCP server (rainer85ah/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from FastMCP Boilerplate, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
16 FastMCP Boilerplate tools catalogued and risk-classified — across an index of 43,000+ MCP servers.