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sg_rental_yield

Compute key rental yield metrics for Singapore properties: gross yield, net yield, cap rate, price-to-rent ratio, monthly cashflow, and break-even years.

Instructions

Calculate rental investment metrics for a Singapore property. Returns gross yield, net yield, cap rate, price-to-rent ratio, monthly cashflow, and years to break even. (PAID — auto-pay if wallet configured)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthly_rentYesExpected monthly rental income in SGD
property_priceYesProperty purchase price in SGD
annual_expensesNoOther annual expenses (optional)
maintenance_monthlyNoMonthly maintenance cost (optional)
management_fee_monthlyNoMonthly property management fee (optional)
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden. It discloses the tool is paid and auto-payment behavior, which is helpful. But it does not mention whether the tool is read-only, has side effects, or any other behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences convey the purpose and payment requirement without fluff. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the main actions and outputs, and the payment disclosure is critical for agent decision-making. It lacks assumptions or examples, but given the tool's simplicity, it is fairly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are already well-described. The description adds the computed metrics, which provides context but does not enhance parameter meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it calculates rental investment metrics for Singapore property and lists specific outputs (gross yield, net yield, cap rate, etc.). This distinguishes it from sibling tools like hdb_resale_median or sg_property_analyze, which focus on other aspects.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions it's a paid tool with auto-pay if wallet configured, giving context on when it can be used. However, it does not explicitly state when to use this tool versus alternatives or provide any usage restrictions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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