Skip to main content
Glama

propagate_from_gp_record

Propagate satellite orbit using a GP record from Celestrak or SpaceTrack queries. Choose SGP4, Keplerian, or numerical propagation for single or range epochs.

Instructions

Propagate from a GP record dict (from celestrak/spacetrack query tools).

Bridges GP data queries directly into propagation. For SGP4, uses the OMM elements directly (avoiding TLE precision loss). For Keplerian/Numerical, converts OMM elements to an ECI state.

Args: gp_record: Dict from get_celestrak_gp or query_spacetrack_gp tools. propagator_type: "sgp4" (default), "keplerian", or "numerical". target_epoch: Single target epoch (ISO string). start_epoch: Range start epoch (ISO string). end_epoch: Range end epoch (ISO string). step_seconds: Step size in seconds for range propagation (default 60). output_frame: Output coordinate frame (eci, ecef, gcrf, itrf, eme2000, koe_osc, koe_mean). angle_format: Angle format for KOE output ("degrees" or "radians"). force_model: Force model preset for numerical propagation (default "default"). spacecraft_params: [mass_kg, drag_area_m2, Cd, srp_area_m2, Cr] for numerical propagation. gravity_degree: Override gravity degree (numerical only). gravity_order: Override gravity order (numerical only). drag_model: Override drag model (numerical only). enable_srp: Override SRP toggle (numerical only). enable_third_body: Override third-body toggle (numerical only). enable_relativity: Override relativity toggle (numerical only).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_epochNo
gp_recordYes
drag_modelNo
enable_srpNo
force_modelNodefault
start_epochNo
angle_formatNodegrees
output_frameNoeci
step_secondsNo
target_epochNo
gravity_orderNo
gravity_degreeNo
propagator_typeNosgp4
enable_relativityNo
enable_third_bodyNo
spacecraft_paramsNo
Behavior4/5

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

With no annotations provided, the description carries the full burden. It explains the internal behavior: for SGP4 it uses OMM elements directly, for others it converts to ECI state. It also lists all parameters with brief descriptions, which adds transparency. However, it does not disclose return format or any side effects, leaving some behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with a clear purpose statement and a paragraph explaining the advantage, followed by parameter listings. It is somewhat lengthy due to many parameters, but each sentence adds value. Could be slightly more concise by merging redundant statements.

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?

Given the complexity (16 parameters, no output schema), the description covers the main purpose and parameter details but lacks any description of return values, which is critical for an agent to use the output. No examples or additional context about propagation results. This gap reduces completeness.

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%, so the description must compensate. It does so by listing all 16 parameters with purpose and value hints (e.g., 'target_epoch: Single target epoch (ISO string)'). While the descriptions are terse, they add meaning beyond the schema's type-only definitions, helping the agent understand usage. Missing details like valid ranges or defaults beyond what's in 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 the tool's purpose: to propagate from a GP record dict obtained from Celestrak/Spacetrack queries. It specifies the verb 'propagate' and the resource 'GP record', and distinguishes itself from siblings by explaining the advantage of using OMM elements directly to avoid TLE precision loss, which is unique among propagation tools.

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 says to use this tool when you have a GP record from get_celestrak_gp or query_spacetrack_gp, providing clear input context. It implies when to use it but lacks explicit when-not-to-use statements or comparisons with sibling propagation tools (propagate_sgp4, propagate_keplerian, propagate_numerical).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/duncaneddy/brahe-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server