Low Risk

extract_producthunt

Recent Product Hunt launches by keyword or topic. Uses the Product Hunt GraphQL API (with HTML scrape fallback). Returns names, taglines, vote counts, comment counts, topics, and launch dates — all timestamped.

Risk signalsAccepts URL/endpoint input (url)

Part of the Freshcontext server.

extract_producthunt 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 extract_producthunt to retrieve information from Freshcontext 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 extract_producthunt 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": {
    "extract_producthunt": {}
  }
}

See the full Freshcontext policy for all 21 tools.

Get this rule live on your own Freshcontext 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 extract_producthunt 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 extract_producthunt 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 extract_producthunt tool do? +

Recent Product Hunt launches by keyword or topic. Uses the Product Hunt GraphQL API (with HTML scrape fallback). Returns names, taglines, vote counts, comment counts, topics, and launch dates — all timestamped.. It is categorised as a Read tool in the Freshcontext MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_producthunt? +

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

What risk level is extract_producthunt? +

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

Can I rate-limit extract_producthunt? +

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

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

extract_producthunt is provided by the Freshcontext MCP server (PrinceGabriel-lgtm/freshcontext-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Freshcontext tool call.

Deterministic rules across all 21 Freshcontext tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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