Low Risk

tf_briefing

Fetches a real-time world-state snapshot composed from BTC ticker, Fear and Greed Index, recent earthquakes (USGS), top Hacker News story count, and ISS crew. Returns JSON. No auth required. Cache TTL 60s. Use when the agent needs a quick global pulse before deciding what to investigate.

Part of the Terminalfeed server.

tf_briefing 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_briefing 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_briefing 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_briefing": {}
  }
}

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_briefing 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_briefing 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_briefing tool do? +

Fetches a real-time world-state snapshot composed from BTC ticker, Fear and Greed Index, recent earthquakes (USGS), top Hacker News story count, and ISS crew. Returns JSON. No auth required. Cache TTL 60s. Use when the agent needs a quick global pulse before deciding what to investigate.. 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_briefing? +

Register the Terminalfeed MCP server in PolicyLayer and add a rule for tf_briefing: 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_briefing? +

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

Can I rate-limit tf_briefing? +

Yes. Add a rate_limit block to the tf_briefing 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_briefing completely? +

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

tf_briefing 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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