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query_celestrak

Query satellite data from CelesTrak using flexible filters, sorting, and selection by group, name, catalog number, or status.

Instructions

Build and execute an advanced CelesTrak query with filtering and sorting.

This tool provides full access to the CelesTrak query builder, including client-side filtering and ordering that the simpler tools don't expose.

Args: query_type: One of "gp", "sup_gp", or "satcat" (case-insensitive). group: Satellite group name (GP queries). name: Satellite name search (GP queries). catnr: NORAD catalog number (GP/SATCAT queries). intdes: International designator (GP queries). source: Supplemental source name (sup_gp queries). active: Filter to active objects (SATCAT queries). payloads: Filter to payloads only (SATCAT queries). on_orbit: Filter to on-orbit objects (SATCAT queries). filters: List of filter dicts with "field" and "value" keys, e.g. [{"field": "INCLINATION", "value": ">50"}]. order_by: Field name to sort results by. order_ascending: Sort ascending (True) or descending (False). limit: Maximum number of records to return.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
catnrNo
groupNo
limitNo
activeNo
intdesNo
sourceNo
filtersNo
on_orbitNo
order_byNo
payloadsNo
query_typeYes
order_ascendingNo
Behavior3/5

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

No annotations are provided, so the description carries full burden. It explains the tool's behavior (builds and executes queries with client-side filtering and ordering) but does not disclose return format, error handling, rate limits, or whether it is read-only. The parameter list is detailed but behavioral context is lacking.

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 well-structured as a docstring with a clear summary line followed by a parameter list. However, it is somewhat lengthy (15+ lines) and could be more concise while retaining clarity. The front-loaded summary is effective.

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?

Given the tool has 13 parameters, no output schema, and no annotations, the description covers parameter semantics and purpose well. It does not mention output format or error handling, but the complexity of the tool is high and the description adequately addresses the main aspects for an advanced query tool.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must fully compensate. It provides detailed explanations for all 13 parameters, including valid values for query_type, usage notes for filters (with example), and sorting parameters. This adds significant meaning 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 the tool's purpose: to build and execute an advanced CelesTrak query with filtering and sorting. It explicitly distinguishes itself from simpler sibling tools by mentioning features they don't expose (client-side filtering and ordering).

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 contrasts this tool with simpler alternatives by noting it provides full access to the query builder including filtering and ordering that simpler tools lack. This implies when to use it (for advanced queries) but does not explicitly state when not to use it or name specific 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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