bond_yield

Calculate bond yield to maturity and current yield.

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/bond-yield.md

WHAT IT DOES

What bond_yield does on GadgetHumans API Hub

AI agents call bond_yield 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 bond_yield is rated Low

This tool performs a mathematical calculation on bond parameters to produce informational output. It retrieves or computes data without side effects, creation, modification, deletion of records, or execution of arbitrary code. While it involves financial concepts, it does not move money, commit financial obligations, or perform transactions—it merely calculates metrics. This is a Read operation with low risk.

From the tool's definition bond_yield calculates financial metrics (yield to maturity and current yield) from bond parameters. The verb 'calculate' indicates computation and retrieval of derived data without modifying any underlying data or executing external operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs bond_yield 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 bond_yield, this is the rule to start with:

bond_yield Allowed

bond_yield 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": {
    "bond_yield": {}
  }
}

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 bond_yield call is checked against it from then on.

FAQ

Questions about bond_yield

What does the bond_yield tool do? +

Calculate bond yield to maturity and current yield. 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 bond_yield? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for bond_yield: 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 bond_yield? +

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

Can I rate-limit bond_yield? +

Yes. Add a rate_limit block to the bond_yield 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 bond_yield completely? +

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

bond_yield 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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