Low Risk

search_stocks

Filter and rank stocks from the Stocklake universe. - sector: e.g. "Technology", "Healthcare", "Financial Services" - country: e.g. "United States", "Germany" - rsi_signal: "oversold" (<30) | "overbought" (>70) | "neutral" (30–70) - analyst_rating: "strong_buy" | "buy" | "hold" | "sell" | "strong...

Risk signalsHigh parameter count (10 properties)

Part of the Stocklake — AI Stock Intelligence server.

search_stocks 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_stocks to retrieve information from Stocklake — AI Stock Intelligence 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_stocks 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_stocks": {}
  }
}

See the full Stocklake — AI Stock Intelligence policy for all 20 tools.

Get this rule live on your own Stocklake — AI Stock Intelligence 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_stocks 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 search_stocks 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_stocks tool do? +

Filter and rank stocks from the Stocklake universe. - sector: e.g. "Technology", "Healthcare", "Financial Services" - country: e.g. "United States", "Germany" - rsi_signal: "oversold" (<30) | "overbought" (>70) | "neutral" (30–70) - analyst_rating: "strong_buy" | "buy" | "hold" | "sell" | "strong_sell" - min_volume: minimum daily volume (e.g. 1000000) - min_market_cap_b: minimum market cap in billions (e.g. 10 = $10B+) - max_market_cap_b: maximum market cap in billions (e.g. 2 = small-cap only up to $2B) - max_pe_forward: maximum forward P/E ratio filter (e.g. 20 = value screens) - sort_by: "change_pct" | "volume" | "market_cap" | "rating" | "rsi_asc" (oversold first) | "rsi_desc" (overbought first) - limit: max 50 (default 20) - Returns: { count, filters, results[] } — each result includes symbol, name, sector, price, change_pct, volume, market_cap, rsi, pe_forward, analyst_rating, rating (0–10), direction Available to all tiers.. It is categorised as a Read tool in the Stocklake — AI Stock Intelligence MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_stocks? +

Register the Stocklake — AI Stock Intelligence MCP server in PolicyLayer and add a rule for search_stocks: 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 Stocklake — AI Stock Intelligence. Nothing to install.

What risk level is search_stocks? +

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

Can I rate-limit search_stocks? +

Yes. Add a rate_limit block to the search_stocks 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_stocks completely? +

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

search_stocks is provided by the Stocklake — AI Stock Intelligence MCP server (https://api.stocklake.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Stocklake — AI Stock Intelligence tool call.

Deterministic rules across all 20 Stocklake — AI Stock Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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