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plot_access_geometry

Compute access windows and plot satellite pass geometry over a ground location. Supports polar, elevation, and elevation-azimuth plot types with optional constraints.

Instructions

Plot access geometry between a satellite and ground location.

Computes access windows and plots the satellite pass geometry.

Args: location: Ground location dict with lon, lat, optional altitude_m/name. satellite: Satellite spec dict (same format as compute_access). search_start: Start of search window (ISO epoch string). search_end: End of search window (ISO epoch string). plot_type: "polar" (default), "elevation", or "elevation_azimuth". constraints: List of constraint spec dicts. constraint_logic: "all" (AND) or "any" (OR). min_elevation_deg: Convenience shortcut for elevation constraint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationYes
plot_typeNopolar
satelliteYes
search_endYes
constraintsNo
search_startYes
constraint_logicNoall
min_elevation_degNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries full burden. It states it computes and plots, implying read-only behavior. However, it does not disclose any side effects, permissions, or output format beyond the schema.

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?

Two concise sentences followed by a bulleted Args list. Every sentence adds value; no redundancy. Front-loaded with the core purpose.

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?

Covers main purpose and all parameters adequately. With an output schema present, not explaining return values is acceptable. Could briefly mention output type (e.g., plot object) but fine for context.

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?

Schema description coverage is 0%, but the description's Args section adds meaningful details for all 8 parameters, including expected dict structures, string formats, and default values. Compensates well for missing schema 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?

Describes a specific action (plot) on a specific resource (access geometry). Differentiates from sibling 'plot_access_geometry_from_gp' by not mentioning GP records, and from 'compute_access' by adding plotting.

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

Usage Guidelines3/5

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

Implies use when plotting is needed, but lacks explicit guidance on when to choose this over compute_access or plot_access_geometry_from_gp. No when-not-to-use or alternative mentions.

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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