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Launch Schedule

space__launch-schedule
Read-onlyIdempotent

Retrieve upcoming rocket launch schedules from The Space Devs API to track space missions and plan astronomical observations.

Instructions

[Space & Astronomy Agent] Get upcoming rocket launch schedule from The Space Devs Launch Library 2 API. Source: The Space Devs - Launch Library 2 (Creative Commons), updates daily. Returns the Katzilla envelope { data, quality, citation } — quality scores freshness/uptime/confidence; citation carries the source URL, license, and a SHA-256 data hash for audit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of upcoming launches to return

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesStructured payload from the upstream source.
textNoPre-rendered text representation, when applicable.
qualityYesQuality scorecard: freshness, uptime, completeness, confidence, certainty.
citationYesProvenance block — source, license, retrieval timestamp, SHA-256 data hash, pre-formatted citation text.
Behavior4/5

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

Annotations already provide readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering safety and idempotency. The description adds valuable behavioral context beyond annotations: it discloses the data source ('The Space Devs - Launch Library 2'), update frequency ('updates daily'), return format ('Katzilla envelope'), and details like quality scores and citation with SHA-256 hash for audit. This enriches the agent's understanding of data freshness and provenance.

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 highly concise and well-structured: it opens with the core purpose, specifies the data source and update frequency, and details the return format and its components in a single, information-dense sentence. Every element (source, update cadence, return structure) adds value without redundancy, making it efficient and front-loaded.

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 tool's simplicity (one optional parameter, rich annotations, and an output schema implied by the return format description), the description is complete. It covers purpose, data source, update behavior, and output structure, compensating for any gaps. With annotations handling safety and idempotency, and the output schema detailing the 'Katzilla envelope', no critical information is missing for effective agent use.

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 100% with one parameter ('limit') fully documented in the input schema. The description does not add any parameter-specific semantics beyond what the schema provides (e.g., no details on default behavior or usage tips). Since the schema handles parameter documentation adequately, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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 specific action ('Get upcoming rocket launch schedule'), resource ('from The Space Devs Launch Library 2 API'), and scope ('upcoming launches'). It distinguishes itself from sibling tools by focusing exclusively on space/astronomy launch data, unlike the diverse siblings covering agriculture, consumer, crime, etc. The mention of 'Space & Astronomy Agent' further contextualizes its domain.

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 context by specifying it's for 'upcoming rocket launch schedule' and notes the data source updates daily, suggesting it's for current/future launch information. However, it does not explicitly state when not to use it or name alternative tools for historical launch data or other space-related queries (e.g., sibling tools like space__nasa-apod or space__nasa-asteroids), leaving some ambiguity in tool selection.

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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