Analyze news sentiment for a stock using NewsAPI and TextBlob. Returns sentiment score and signal.
AI agents call analyze_sentiment to retrieve information from IndiaQuant MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves news data and performs sentiment analysis on it, producing insights (sentiment scores and signals) without creating, modifying, deleting, or executing any trades. It does not move money, execute code with side effects, or trigger external operations beyond data analysis.
From the tool's definition Analyzes news sentiment for a stock using NewsAPI and TextBlob. Returns sentiment score and signal. No modification, deletion, or financial transaction capability—purely analytical retrieval and processing of news data.
Attacks that exploit this kind of access
Analyze news sentiment for a stock using NewsAPI and TextBlob. Returns sentiment score and signal. It is categorised as a Read tool in the IndiaQuant MCP Server MCP Server, which means it retrieves data without modifying state.
Register the IndiaQuant MCP Server MCP server in PolicyLayer and add a rule for analyze_sentiment: 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 IndiaQuant MCP Server. Nothing to install.
analyze_sentiment is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analyze_sentiment 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.
Set action: deny in the PolicyLayer policy for analyze_sentiment. 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.
analyze_sentiment is provided by the IndiaQuant MCP Server MCP server (shirshak-dugtal/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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