snow_sentiment_analysis

Score the sentiment of a free-text string as positive/neutral/negative with a confidence value. Useful for triaging case comments, survey responses, or chat transcripts.

SERVERSerac SOURCEserac-labs/serac

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/serac/snow-sentiment-analysis.md

WHAT IT DOES

What snow_sentiment_analysis does on Serac

AI agents use snow_sentiment_analysis to create or update resources in Serac, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Serac environment.

RISK

Why snow_sentiment_analysis is rated Medium

An AI agent can call snow_sentiment_analysis faster than any human can review: one bad instruction and it creates or modifies resources in Serac by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs snow_sentiment_analysis safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Serac, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For snow_sentiment_analysis, this is the rule to start with:

snow_sentiment_analysis Rate-limited

snow_sentiment_analysis stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "snow_sentiment_analysis": {
      "limits": [
        {
          "counter": "snow_sentiment_analysis_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Serac, apply this rule, and every snow_sentiment_analysis call is checked against it from then on.

FAQ

Questions about snow_sentiment_analysis

What does the snow_sentiment_analysis tool do? +

Score the sentiment of a free-text string as positive/neutral/negative with a confidence value. Useful for triaging case comments, survey responses, or chat transcripts. It is categorised as a Write tool in the Serac MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on snow_sentiment_analysis? +

Register the Serac MCP server in PolicyLayer and add a rule for snow_sentiment_analysis: 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 Serac. Nothing to install.

What risk level is snow_sentiment_analysis? +

snow_sentiment_analysis is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit snow_sentiment_analysis? +

Yes. Add a rate_limit block to the snow_sentiment_analysis 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 snow_sentiment_analysis completely? +

Set action: deny in the PolicyLayer policy for snow_sentiment_analysis. 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 snow_sentiment_analysis? +

snow_sentiment_analysis is provided by the Serac MCP server (serac-labs/serac). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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