Low Risk

search_public

Search Enji’s blog, Q&A library, and marketing tools for factual, grounded answers to marketing-related questions. Responses include confidence.aggregate (0–1) and set meta.is_low_confidence = true when the service falls back to generic Enji links (typically <0.45).

Risk signalsAccepts freeform code/query input (query)

Part of the Ai Marketing Agent server.

search_public 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 search_public to retrieve information from Ai Marketing Agent 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 search_public 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": {
    "search_public": {}
  }
}

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Get this rule live on your own Ai Marketing Agent 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 search_public gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so search_public 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 search_public tool do? +

Search Enji’s blog, Q&A library, and marketing tools for factual, grounded answers to marketing-related questions. Responses include confidence.aggregate (0–1) and set meta.is_low_confidence = true when the service falls back to generic Enji links (typically <0.45).. It is categorised as a Read tool in the Ai Marketing Agent MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_public? +

Register the Ai Marketing Agent MCP server in PolicyLayer and add a rule for search_public: 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 Ai Marketing Agent. Nothing to install.

What risk level is search_public? +

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

Can I rate-limit search_public? +

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

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

search_public is provided by the Ai Marketing Agent MCP server (enji/ai-marketing-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ai Marketing Agent tool call.

Deterministic rules across all 9 Ai Marketing Agent tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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