Align your investments with your values using the FMP ESG Investment Search API. Discover companies and funds based on Environmental, Social, and Governance (ESG) scores, performance, controversies, and business involvement criteria.
AI agents call getESGDisclosures to retrieve information from Financial Modeling Prep 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 and queries ESG (Environmental, Social, Governance) disclosure data about companies and funds. The verb 'Discover' and the read-only nature of searching/filtering by ESG criteria, scores, and performance metrics indicate a pure data retrieval operation with no side effects. Users can search and filter information but cannot modify data, execute code, or commit financial transactions.
From the tool's definition Tool name 'getESGDisclosures' and description 'Discover companies and funds based on... scores, performance, controversies' indicates data retrieval. No mention of modification, deletion, execution, or financial transactions.
Attacks that exploit this kind of access
Align your investments with your values using the FMP ESG Investment Search API. Discover companies and funds based on Environmental, Social, and Governance (ESG) scores, performance, controversies, and business involvement criteria. It is categorised as a Read tool in the Financial Modeling Prep MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Financial Modeling Prep MCP Server MCP server in PolicyLayer and add a rule for getESGDisclosures: 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 Financial Modeling Prep MCP Server. Nothing to install.
getESGDisclosures 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 getESGDisclosures 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 getESGDisclosures. 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.
getESGDisclosures is provided by the Financial Modeling Prep MCP Server MCP server (vijitdaroch/financial-modeling-prep-mcp-server). 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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