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jbechtel-97

dealflowpro-mcp-server

by jbechtel-97

score_deal

Score multifamily deals on a 0-100 scale for screening using purchase price, income, expenses, and units; returns DFP score and key metrics.

Instructions

Quick-score a multifamily deal on the DFP 0-100 scale. Returns the DFP Score and key metrics. Faster than full analysis — use this for quick screening.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unitsNoNumber of apartment units
monthly_incomeYesTotal monthly rental income in dollars
purchase_priceYesAsking/purchase price in dollars
monthly_expensesNoTotal monthly operating expenses in dollars
property_addressNoProperty location
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It states the tool 'returns the DFP Score and key metrics' but does not clarify if the operation is read-only, whether it modifies data, or any prerequisites like authentication. The description lacks essential behavioral context beyond its input/output.

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?

The description is concise: two sentences front-loading the core purpose and key differentiator. Every word adds value, with no redundancy or filler. It efficiently communicates the tool's primary use case.

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 the tool has 5 parameters fully described in the schema, no output schema, and sibling tools providing context, the description covers the main purpose and distinction. However, it omits the structure of the returned 'key metrics' and does not address potential edge cases or error states, leaving slight gaps for a comprehensive understanding.

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 description coverage is 100%, meaning each parameter is already described in the input schema. The description does not add further meaning to parameters (e.g., expected ranges, units clarification) beyond what the schema provides. Baseline 3 is appropriate as the schema does the heavy lifting; the description adds no additional parameter insight.

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 the action ('quick-score'), the resource ('multifamily deal'), and the scale ('DFP 0-100'). It distinguishes from sibling tools by noting it's 'faster than full analysis' and intended for 'quick screening', setting it apart from more detailed analysis tools like analyze_deal.

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 explicitly notes when to use the tool ('for quick screening') and implies an alternative ('full analysis'), but does not name the alternative tool (analyze_deal) or provide explicit criteria for when not to use it. The guidance is clear but not exhaustive.

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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