Low Risk

enrich_content

Cross-reference any text with thousands of prediction market contracts. Paste content + topics, get divergence analysis: where sentiment disagrees with market prices. No auth, no Firecrawl needed. Demo/trial entry point.

Risk signalsAccepts raw HTML/template content (content)

Part of the Simplefunctions server.

enrich_content 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 enrich_content to retrieve information from Simplefunctions 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 enrich_content 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": {
    "enrich_content": {}
  }
}

See the full Simplefunctions policy for all 108 tools.

Get this rule live on your own Simplefunctions server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 108 tools →

These attack patterns abuse exactly the kind of access enrich_content 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 enrich_content 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 enrich_content tool do? +

Cross-reference any text with thousands of prediction market contracts. Paste content + topics, get divergence analysis: where sentiment disagrees with market prices. No auth, no Firecrawl needed. Demo/trial entry point.. It is categorised as a Read tool in the Simplefunctions MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on enrich_content? +

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

What risk level is enrich_content? +

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

Can I rate-limit enrich_content? +

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

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

enrich_content is provided by the Simplefunctions MCP server (@spfunctions/cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Simplefunctions tool call.

Deterministic rules across all 108 Simplefunctions tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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