getPriceTargetConsensus
Access analysts
This record as markdown: /tools/io-github-imbenrabi-financial-modeling-prep-mcp-server/getpricetargetconsensus.md
What getPriceTargetConsensus does on Financial Modeling Prep MCP Server
AI agents call getPriceTargetConsensus to retrieve information from Financial Modeling Prep MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why getPriceTargetConsensus is rated Low
This tool retrieves financial analyst consensus data, which is a read-only query operation. It has no side effects, does not execute code or commands, does not modify data, does not delete data, and does not involve financial transactions. The blast radius of misuse is minimal—an agent could only retrieve already-published analyst opinions.
From the tool's definition Tool name 'getPriceTargetConsensus' and description 'Access analysts' indicate retrieval of analyst consensus price target data. The 'get' prefix and passive 'Access' verb denote read-only data retrieval with no modification or execution.
Attacks that exploit this kind of access
The rule that runs getPriceTargetConsensus safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Financial Modeling Prep MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For getPriceTargetConsensus, this is the rule to start with:
getPriceTargetConsensus is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Financial Modeling Prep MCP Server, apply this rule, and every getPriceTargetConsensus call is checked against it from then on.
Questions about getPriceTargetConsensus
Access analysts. 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 getPriceTargetConsensus: 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.
getPriceTargetConsensus 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 getPriceTargetConsensus 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 getPriceTargetConsensus. 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.
getPriceTargetConsensus is provided by the Financial Modeling Prep MCP Server MCP server (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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