stock_earnings

The latest cited earnings report for one stock. Teasers are public. Set include_full=true for the complete evidence-linked report; that content requires FolioFact Pro.

SERVERFolioFact SOURCEhttps://foliofact.com/mcp

Medium RISK CLASS

Category Write

Parameters 31 required

Recommended Rate-limitedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/com-foliofact-foliofact/stock-earnings.md

WHAT IT DOES

What stock_earnings does on FolioFact

AI agents use stock_earnings to create or update resources in FolioFact, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FolioFact environment.

Parameter	Type	Required	Description
`period`	string	—	Optional stable report slug, for example 2026-03-31-quarter.
`ticker`	string	Yes	Stock ticker (dots allowed).
`include_full`	boolean	—	Request full Pro analysis. Defaults to true for Pro callers and false otherwise.

Parameters from the server's own tool schema.

RISK

Why stock_earnings is rated Medium

An AI agent can call stock_earnings faster than any human can review: one bad instruction and it creates or modifies resources in FolioFact by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs stock_earnings safely

PolicyLayer is an MCP gateway: it sits between your AI agents and FolioFact, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stock_earnings, this is the rule to start with:

stock_earnings Rate-limited

stock_earnings stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "stock_earnings": {
      "limits": [
        {
          "counter": "stock_earnings_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect FolioFact, apply this rule, and every stock_earnings call is checked against it from then on.

FAQ

Questions about stock_earnings

What does the stock_earnings tool do? +

The latest cited earnings report for one stock. Teasers are public. Set include_full=true for the complete evidence-linked report; that content requires FolioFact Pro. It is categorised as a Write tool in the FolioFact MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does stock_earnings accept? +

stock_earnings accepts 3 parameters: period, ticker, include_full. Required: ticker. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on stock_earnings? +

Register the FolioFact MCP server in PolicyLayer and add a rule for stock_earnings: 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 FolioFact. Nothing to install.

What risk level is stock_earnings? +

stock_earnings is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit stock_earnings? +

Yes. Add a rate_limit block to the stock_earnings 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.

How do I block stock_earnings completely? +

Set action: deny in the PolicyLayer policy for stock_earnings. 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.

What MCP server provides stock_earnings? +

stock_earnings is provided by the FolioFact MCP server (https://foliofact.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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