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site_reach_score

Evaluate outdoor advertising site reach via composite score from POI density, junction density, and category diversity. Returns normalized score with breakdown.

Instructions

Composite reach score in [0, 1] for a single OOH site.

Combines gravity-weighted POI density, junction density, and category diversity (public urban-analytics methodology). Returns the score plus an auditable breakdown. Units: lat/lon decimal degrees; minutes minutes; score unitless [0,1]. Example: site_reach_score(lat=3.15, lon=101.71, minutes=10, mode="walk")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYes
lonYes
modeYesRouting mode for reachability/isochrone computation.
minutesYes
weightsNo
categoriesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude in decimal degrees [-90, 90].
lonYesLongitude in decimal degrees [-180, 180].
modeYes
scoreYes
minutesYes
breakdownYes
Behavior3/5

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

No annotations provided, so description carries full burden. It describes the methodology and that it returns a score with breakdown, but lacks details on data sources, performance, or side effects. Acceptable but not thorough.

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?

Concise and front-loaded; every sentence adds value. No wasted words.

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

Completeness3/5

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

Covers main functionality and required parameters, but omits explanation of optional parameters (weights, categories) and error conditions. Output schema exists, so return structure is less critical, but input completeness could be better. Adequate for moderate complexity.

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 only 17% (only mode has property-level description). Description adds value by explaining units and providing an example, but does not cover the optional parameters (weights, categories) or their semantics fully. Partial compensation.

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?

Clearly states it computes a composite reach score for a single OOH site using gravity-weighted POI density, junction density, and category diversity. Differentiates from siblings like isochrone (generates isochrone), catchment_pois (returns POIs), and compare_sites (compares multiple sites).

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. The description does not mention prerequisites or scenarios where other tools would be more appropriate.

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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