Low Risk

stacks.recommend

Recommends a complete stack from BuyAPI's corpus with a structured decision matrix, cost estimate, assumptions, unknowns, alternatives, and sources. Use this when the user is starting a project or asks for a complete multi-layer stack choice. Do not use this for local coding/debugging/docs questi...

Risk signalsHigh parameter count (26 properties)

Part of the BuyAPI server.

stacks.recommend 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 stacks.recommend to retrieve information from BuyAPI 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 stacks.recommend 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": {
    "stacks.recommend": {}
  }
}

See the full BuyAPI policy for all 7 tools.

Get this rule live on your own BuyAPI 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 stacks.recommend 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 stacks.recommend 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 stacks.recommend tool do? +

Recommends a complete stack from BuyAPI's corpus with a structured decision matrix, cost estimate, assumptions, unknowns, alternatives, and sources. Use this when the user is starting a project or asks for a complete multi-layer stack choice. Do not use this for local coding/debugging/docs questions that do not involve software or vendor selection. Do not call vendors.resolve first; this tool handles retrieval and ranking.. It is categorised as a Read tool in the BuyAPI MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stacks.recommend? +

Register the BuyAPI MCP server in PolicyLayer and add a rule for stacks.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 BuyAPI. Nothing to install.

What risk level is stacks.recommend? +

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

Can I rate-limit stacks.recommend? +

Yes. Add a rate_limit block to the stacks.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 stacks.recommend completely? +

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

stacks.recommend is provided by the BuyAPI MCP server (https://buyapi.ai/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every BuyAPI tool call.

Deterministic rules across all 7 BuyAPI 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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