Low Risk

tat_recommend

Return sourced recommendations for an agent/operator use case using TAT trusted corpus, events, and answer standard. Not an external-resource safety checker.

How to control tat_recommend ↓

AI agents call tat_recommend to retrieve information from The Agent Times without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
use_case string Agent/operator use case
constraints string Optional constraints
source_agent string Calling agent identifier

Parameters from the server's own tool schema.

Low Risk

Even though tat_recommend only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Documented attack patterns abuse exactly the kind of access tat_recommend gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and The Agent Times, and nothing reaches the server without passing your rules. This is the rule we recommend for tat_recommend:

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

tat_recommend is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register The Agent Times — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the tat_recommend tool do? +

Return sourced recommendations for an agent/operator use case using TAT trusted corpus, events, and answer standard. Not an external-resource safety checker. It is categorised as a Read tool in the The Agent Times MCP Server, which means it retrieves data without modifying state.

What parameters does tat_recommend accept? +

tat_recommend accepts 3 parameters: use_case, constraints, source_agent. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on tat_recommend? +

Register the The Agent Times MCP server in PolicyLayer and add a rule for tat_recommend: 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 The Agent Times. Nothing to install.

What risk level is tat_recommend? +

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

Can I rate-limit tat_recommend? +

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

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

tat_recommend is provided by the The Agent Times MCP server (theagenttimes/news). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every The Agent Times tool call.

Deterministic rules across all 22 The Agent Times tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

22 The Agent Times tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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