Low Risk

nutrition_score

Calculate a nutrition quality score (0–100) for a day's eating based on macros and optional micronutrient data. Returns a breakdown by category, a letter grade, and actionable recommendations. Use this when someone wants to rate their diet, check if they're eating well, or get feedback on a day's...

Part of the Nutribalance server.

nutrition_score is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call nutrition_score to retrieve information from Nutribalance without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though nutrition_score only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "nutrition_score": {}
  }
}

See the full Nutribalance policy for all 5 tools.

Get this rule live on your own Nutribalance server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access nutrition_score gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so nutrition_score only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the nutrition_score tool do? +

Calculate a nutrition quality score (0–100) for a day's eating based on macros and optional micronutrient data. Returns a breakdown by category, a letter grade, and actionable recommendations. Use this when someone wants to rate their diet, check if they're eating well, or get feedback on a day's meals.. It is categorised as a Read tool in the Nutribalance MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on nutrition_score? +

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

What risk level is nutrition_score? +

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

Can I rate-limit nutrition_score? +

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

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

nutrition_score is provided by the Nutribalance MCP server (NutriBalance/nutribalance-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nutribalance tool call.

Deterministic rules across all 5 Nutribalance tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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