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get_land_quick_score

Get a fast suitability score (0-100) for a US property without generating a full report. Call this when the user wants a quick go/no-go assessment or an initial screening before committing to a full analysis. Returns a single score with confidence level and one-sentence rationale. Consumes a partial (0.25) analysis credit from your AcreLens account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYesAnalysis lens: off_grid, rural_residential, recreational, or investment.
stateYes2-letter US state code (e.g. "NM").
addressYesFull street address of the US property.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
scoreYesOverall suitability score 0-100. Null while still processing.
statusYes"completed" when the score is ready; "processing" if the poll timed out and the caller should retry the report later.
summaryYesOne-sentence rationale for the score. Null while still processing or if no summary was generated.
report_idYesUnique ID for the underlying quick-mode report.
confidenceYesAggregate confidence level derived from per-category confidences. Null while still processing.

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already indicate non-read-only and non-idempotent behavior, but the description adds valuable context by disclosing the 'partial (0.25) analysis credit' consumption and the return format (single score with confidence and rationale). This goes beyond what annotations provide, enhancing the agent's understanding of side effects.

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 four concise sentences, each serving a distinct purpose: function, use case, output, and cost. There is no redundancy or fluff, making it well-structured and easy to parse.

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

Completeness5/5

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

Despite having an output schema, the description provides important context not in the schema: the cost in credits, the US-only scope, and the distinction from a full report. This makes the description complete for an agent deciding whether to invoke the 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 description coverage is 100%, with all three parameters (address, state, mode) already described in the schema. The tool description does not add additional parameter-specific meaning beyond what the schema provides, so a baseline score of 3 is appropriate.

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 tool's function: 'Get a fast suitability score (0-100) for a US property without generating a full report.' It uses a specific verb and resource, and distinguishes from siblings by emphasizing speed and the lack of a full report, which aligns with analyze_land being the full-analysis alternative.

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

Usage Guidelines5/5

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

Explicit usage guidance is provided: 'Call this when the user wants a quick go/no-go assessment or an initial screening before committing to a full analysis.' This tells the agent exactly when to use it and implies the alternative of running a full analysis, effectively differentiating from sibling tools.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool targets a clearly distinct purpose: analyze_land for full property analysis, compare_properties for batch comparison, get_land_quick_score for quick screening, get_solar_potential for solar estimates, and get_state_land_profile for state-level context. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case: analyze_land, compare_properties, get_land_quick_score, get_solar_potential, get_state_land_profile. Naming is uniform and predictable.

Tool Count5/5

5 tools is well-scoped for the land analysis domain. Each tool provides a distinct, necessary function without redundancy. The count is appropriate and not excessive.

Completeness4/5

The tool set covers core workflows: full analysis, comparison, quick screening, solar potential, and state context. Minor gaps exist (e.g., water access, soil data, or zoning details) but these are not essential for typical use cases.

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