Get aggregated insider sentiment (monthly buy/sell metrics) for a stock
AI agents call get_insider_sentiment to retrieve information from MCP Finnhub Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns historical insider trading sentiment data. While the data concerns financial markets, the tool itself performs no financial operations, creates no obligations, modifies no data, and executes no commands. It is a straightforward read operation that retrieves publicly available (or subscription-accessible) financial metrics.
From the tool's definition Tool retrieves 'aggregated insider sentiment (monthly buy/sell metrics)' - a data query operation with no modification, deletion, or financial transaction capability. The description explicitly indicates data retrieval only.
Attacks that exploit this kind of access
Get aggregated insider sentiment (monthly buy/sell metrics) for a stock. It is categorised as a Read tool in the MCP Finnhub Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Finnhub Server MCP server in PolicyLayer and add a rule for get_insider_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 MCP Finnhub Server. Nothing to install.
get_insider_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 get_insider_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 get_insider_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.
get_insider_sentiment is provided by the MCP Finnhub Server MCP server (nimblebraininc/mcp-finnhub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
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