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analysis_area

Analyze a geographic area to identify dark, accessible locations for stargazing. Uses elevation and road network data to filter suitable sites.

Instructions

Analyze a geographic area for suitable stargazing locations.

This tool searches for dark, accessible locations with good viewing conditions. Results are cached based on search parameters.

Args: south, west, north, east: Bounding box coordinates. max_locations: Maximum number of candidate locations to find (before pagination). min_height_diff: Minimum elevation difference for prominence. road_radius_km: Search radius for road access. network_type: Type of road network ('drive', 'walk', etc.). db_config_path: Optional path to database config. page: Page number (1-based). page_size: Number of results per page.

Returns: Dict with keys "data", "_meta". "data" contains: - items: List of location results for the current page. - total: Total number of locations found. - page: Current page number. - page_size: Current page size. - resource_id: Cache key for these search parameters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
southYes
westYes
northYes
eastYes
max_locationsNo
min_height_diffNo
road_radius_kmNo
network_typeNodrive
db_config_pathNo
pageNo
page_sizeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full burden. It mentions caching but does not explicitly confirm read-only behavior or disclose any side effects. Adequate but not exceptionally transparent.

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 well-structured with clear sections, front-loaded purpose, and no wasted words. Every sentence adds value.

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?

Given the complexity of 11 parameters, lack of annotations, and presence of output schema, the description thoroughly covers purpose, parameters, and return structure. It is complete.

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

Parameters4/5

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

The Args section provides meaningful descriptions for all 11 parameters, compensating for 0% schema coverage. It explains defaults and units, adding value beyond the bare 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 'Analyze a geographic area for suitable stargazing locations,' with a specific verb and resource, and it distinguishes from sibling tools that focus on celestial data or weather.

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 usage for finding stargazing spots based on geographic area, and context signals differentiate from siblings, but it lacks explicit when-not-to-use or alternative recommendations.

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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