Low Risk

tf_fear_greed

Fetches the current Crypto Fear and Greed Index value (0-100) with classification label (Extreme Fear, Fear, Neutral, Greed, Extreme Greed). Source: Alternative.me. Cache TTL 5min. Use as a sentiment signal for crypto trading decisions.

Part of the Terminalfeed server.

tf_fear_greed 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 tf_fear_greed to retrieve information from Terminalfeed 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 tf_fear_greed 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": {
    "tf_fear_greed": {}
  }
}

See the full Terminalfeed policy for all 35 tools.

Get this rule live on your own Terminalfeed 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 tf_fear_greed 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 tf_fear_greed 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 tf_fear_greed tool do? +

Fetches the current Crypto Fear and Greed Index value (0-100) with classification label (Extreme Fear, Fear, Neutral, Greed, Extreme Greed). Source: Alternative.me. Cache TTL 5min. Use as a sentiment signal for crypto trading decisions.. It is categorised as a Read tool in the Terminalfeed MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on tf_fear_greed? +

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

What risk level is tf_fear_greed? +

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

Can I rate-limit tf_fear_greed? +

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

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

tf_fear_greed is provided by the Terminalfeed MCP server (https://terminalfeed.io/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Terminalfeed tool call.

Deterministic rules across all 35 Terminalfeed tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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