Low Risk

get_technical_signals

Structured technical signal summary — agent-ready labeled outputs for a stock. Unlike get_stock_rating (composite score + nested breakdown), this returns flat labeled signals optimized for programmatic consumption without parsing raw numbers. Returns: - overall: BULLISH | NEUTRAL | BEARISH (compo...

Part of the Stocklake — AI Stock Intelligence server.

get_technical_signals 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 get_technical_signals 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 get_technical_signals 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": {
    "get_technical_signals": {}
  }
}

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

Structured technical signal summary — agent-ready labeled outputs for a stock. Unlike get_stock_rating (composite score + nested breakdown), this returns flat labeled signals optimized for programmatic consumption without parsing raw numbers. Returns: - overall: BULLISH | NEUTRAL | BEARISH (composite) - rsi: value + signal label (oversold / recovering / neutral / approaching_overbought / overbought) - macd: signal (bullish/bearish), histogram, strength (strong/moderate/weak) - bollinger: position (below_lower / lower_half / upper_half / above_upper), bandwidth_pct - sma200: trend (above/below), gap_pct (distance from 200-day MA as %) - sma50: trend (above/below), gap_pct 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 get_technical_signals? +

Register the Stocklake — AI Stock Intelligence MCP server in PolicyLayer and add a rule for get_technical_signals: 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 get_technical_signals? +

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

Can I rate-limit get_technical_signals? +

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

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

get_technical_signals 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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