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sg_property_analyze

Provides a complete property investment analysis covering stamp duty, HDB comparables, rental yield, affordability checks, and MRT location data. Returns a verdict with risk flags.

Instructions

COMPLETE property investment analysis in one call. Combines stamp duty (IRAS), HDB transaction comparables (data.gov.sg), rental yield, MAS TDSR/MSR affordability check, and MRT location intelligence. Returns a verdict with risk flags. This is the most comprehensive Singapore property analysis endpoint available — no agent can replicate this by scraping. Region parameter supports future expansion (SG now, HK/AE/AU/JP planned). (PAID — auto-pay if wallet configured)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
townNoHDB town (e.g. 'TAMPINES'). Required for HDB analysis.
regionNoRegion/country code. SG supported now; HK/AE/AU/JP planned.SG
flat_typeNoHDB flat type (e.g. '4 ROOM')
postal_codeNoPostal code for location intelligence (optional)
borrower_ageNoAge of youngest borrower
monthly_rentNoExpected monthly rent in SGD (optional, for yield analysis)
buyer_profileNoSC
property_typeNohdb
monthly_incomeNoGross monthly income for affordability check (optional)
property_countNoNumber of properties owned including this one
property_priceYesProperty price / asking price in SGD
loan_tenure_yearsNoLoan tenure in years
existing_monthly_debtNoExisting monthly debt obligations
Behavior4/5

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

No annotations provided, but description discloses paid nature ('PAID — auto-pay if wallet configured'), data sources, and output (verdict with risk flags). This provides critical behavioral context beyond what the schema gives.

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

Conciseness4/5

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

The description is dense and front-loaded with key value proposition. Minimal fluff, though the mention of future region expansion could be seen as slightly extraneous.

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?

Given 13 parameters, no output schema, and no annotations, the description covers scope, data sources, paid status, and output nature. Lacks specifics on response format but is adequate for a comprehensive analysis tool.

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 85%, so parameters are already well-documented. The description adds overview context but doesn't provide additional semantics for individual parameters beyond the schema's existing descriptions.

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?

Description states 'COMPLETE property investment analysis in one call' and lists specific components (stamp duty, HDB comparables, rental yield, etc.), clearly distinguishing it from sibling tools like sg_stamp_duty, sg_affordability, which are more focused.

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

Usage Guidelines4/5

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

The description implies use for comprehensive analysis and notes it's the most comprehensive endpoint, but does not explicitly state when to use sibling tools instead or exclude scenarios. However, the context is clear enough.

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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