text_sentiment

THE RISK

Low Risk

Why text_sentiment needs a policy

This tool performs sentiment analysis on text input, which is a read-only analytical operation. It retrieves or computes sentiment metrics without creating, modifying, deleting data, or executing code/commands. The keyword matching approach is passive analysis with no side effects.

From the tool's definition Tool name 'text_sentiment' and description 'Basic sentiment analysis using keyword matching' indicate data retrieval and analysis only, with no modification, deletion, or execution of external operations.

Documented attack patterns abuse exactly the kind of access text_sentiment gives an agent:

POLICY

How to control text_sentiment

PolicyLayer is an MCP gateway — it sits between your AI agents and Postgres Mcp Legacy, and nothing reaches the server without passing your rules. This is the rule we recommend for text_sentiment:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "text_sentiment": {}
  }
}

text_sentiment is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Postgres Mcp Legacy — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about text_sentiment

What does the text_sentiment tool do? +

Basic sentiment analysis using keyword matching. It is categorised as a Read tool in the Postgres Mcp Legacy MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on text_sentiment? +

Register the Postgres Mcp Legacy MCP server in PolicyLayer and add a rule for text_sentiment: 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 Postgres Mcp Legacy. Nothing to install.

What risk level is text_sentiment? +

text_sentiment is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit text_sentiment? +

Yes. Add a rate_limit block to the text_sentiment 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.

How do I block text_sentiment completely? +

Set action: deny in the PolicyLayer policy for text_sentiment. 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.

What MCP server provides text_sentiment? +

text_sentiment is provided by the Postgres Mcp Legacy MCP server (neverinfamous/postgres-mcp-legacy). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Postgres Mcp Legacy tool call.

Start from Postgres Mcp Legacy, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →