Load ANY stock tickers into the screener database. Supports ALL markets: US, Indian NSE (.NS), BSE (.BO), UK (.L), crypto (BTCUSD), and more. Computes ALL technical indicators (RSI, MACD, BB, SMA, EMA, Ichimoku, Stochastic, ATR, ADX, OBV, candlestick patterns, etc.) AND financial ratios (P/E, P...
Bulk/mass operation — affects multiple targets
Part of the Technical Analysis MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use market_update_data to create or modify resources in Technical Analysis. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call market_update_data repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Technical Analysis.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
market_update_data:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Technical Analysis policy for all 11 tools.
Agents calling write-class tools like market_update_data have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Load ANY stock tickers into the screener database. Supports ALL markets: US, Indian NSE (.NS), BSE (.BO), UK (.L), crypto (BTCUSD), and more. Computes ALL technical indicators (RSI, MACD, BB, SMA, EMA, Ichimoku, Stochastic, ATR, ADX, OBV, candlestick patterns, etc.) AND financial ratios (P/E, P/B, ROE, margins, Piotroski score, Altman Z-score, etc.) in parallel batches and stores them for instant screening via screen_stocks(). Uses market-aware staleness: US stocks refresh after 4PM ET close, Indian stocks after 3:30PM IST close, crypto every 2 hours. Fundamentals (FMP ratios, financials) are cached for 7 days — only OHLCV + technicals are recalculated on each refresh. Args: tickers: List of ticker symbols. Use correct suffix for market: Indian NSE: ["RELIANCE.NS", "TCS.NS"] Indian BSE: ["RELIANCE.BO"] Crypto: ["BTCUSD", "ETHUSD"] US: ["AAPL", "MSFT"] (no suffix) If omitted, defaults to S&P 500 constituents. bg_task: If True (default), runs in background and returns immediately. Set to False to wait for completion before screening. limit: Limit number of stocks to update (for testing). . It is categorised as a Write tool in the Technical Analysis MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for market_update_data. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Technical Analysis MCP server.
market_update_data is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the market_update_data rule in your Intercept 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.
Set action: deny in the Intercept policy for market_update_data. 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.
market_update_data is provided by the Technical Analysis MCP server (ta-mcp/technical-analysis-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept