stock_return

Calculate total stock return including price change and dividends.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-scotia1973-bot-api-hub/stock-return.md

WHAT IT DOES

What stock_return does on GadgetHumans API Hub

AI agents call stock_return to retrieve information from GadgetHumans API Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why stock_return is rated Low

This tool performs a computational analysis of historical stock performance metrics (price change and dividend data). It reads input parameters and returns calculated results with no side effects, no data modification, no transactions, and no financial movements. Despite the Financial category being available, this is clearly a Read operation—it queries/calculates, not executes payments or trades.

From the tool's definition Tool name 'stock_return' with description 'Calculate total stock return including price change and dividends' indicates a pure calculation/query operation that retrieves or processes financial data without executing transactions, modifying records, or…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs stock_return safely

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

stock_return Allowed

stock_return is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "stock_return": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about stock_return

What does the stock_return tool do? +

Calculate total stock return including price change and dividends. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stock_return? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for stock_return: 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 GadgetHumans API Hub. Nothing to install.

What risk level is stock_return? +

stock_return is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit stock_return? +

Yes. Add a rate_limit block to the stock_return 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_return completely? +

Set action: deny in the PolicyLayer policy for stock_return. 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_return? +

stock_return is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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