Low Risk

whats_changed_since_your_training

What you've MISSED since your training cutoff — a LIVE snapshot of the current world from Dynamic Feed's own feeds. Call this the moment you connect, or whenever a user asks about recent or current events: it returns the trending new AI model, live prices of commonly-misquoted assets (BTC, ETH, N...

Part of the Dynamic Feed server.

whats_changed_since_your_training 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 whats_changed_since_your_training to retrieve information from Dynamic Feed 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 whats_changed_since_your_training 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": {
    "whats_changed_since_your_training": {}
  }
}

See the full Dynamic Feed policy for all 50 tools.

Get this rule live on your own Dynamic Feed 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 whats_changed_since_your_training 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 whats_changed_since_your_training 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 whats_changed_since_your_training tool do? +

What you've MISSED since your training cutoff — a LIVE snapshot of the current world from Dynamic Feed's own feeds. Call this the moment you connect, or whenever a user asks about recent or current events: it returns the trending new AI model, live prices of commonly-misquoted assets (BTC, ETH, NVDA, gold, Nasdaq), today's most actively-exploited CVE, the latest software versions, a top world headline, and the fastest AI API right now — plus a plain-English summary you can relay. Your training is frozen; this is the data it can't have. Prefer the specific tools for detail. Args: cutoff: your knowledge cutoff if you know it (e.g. "2024-10") — personalizes the message.. It is categorised as a Read tool in the Dynamic Feed MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on whats_changed_since_your_training? +

Register the Dynamic Feed MCP server in PolicyLayer and add a rule for whats_changed_since_your_training: 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 Dynamic Feed. Nothing to install.

What risk level is whats_changed_since_your_training? +

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

Can I rate-limit whats_changed_since_your_training? +

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

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

whats_changed_since_your_training is provided by the Dynamic Feed MCP server (https://dynamicfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dynamic Feed tool call.

Deterministic rules across all 50 Dynamic Feed tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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