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Orbital data center alerts (paid key)

orbital_compute_alerts
Read-onlyIdempotent

Orbitwren Alerts: classified events for orbital data centers and space AI compute (new_project, launch, date_change, status_change) with companies and source URLs. Needs a paid Orbitwren key (Alerts plan $5/month).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoAlert types, comma separated: new_project, launch, date_change, status_change, update
limitNoRows (1-500)
sinceNoOnly alerts on or after this date (YYYY-MM-DD)
companyNoCompany name (part of it)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds substantive context beyond them: the paid-key auth requirement and the fact that results include companies and source URLs, which is genuinely useful since there is no output schema.

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?

Two compact sentences with the resource and returned alert types front-loaded and the access prerequisite at the end; no filler. The 'Orbitwren Alerts:' lead-in is slightly redundant with the title but harmless.

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?

For a 4-param, no-required-arg tool with no output schema, the description supplies the two things an agent cannot get from structured fields: the auth/cost requirement and the shape of the returned data. Only pagination/limit interplay and sibling differentiation are absent.

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%, so type, limit, since and company are all documented in the schema, including the allowed alert-type values. The description adds no syntax, default, or filtering nuance beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource (classified alerts for orbital data centers and space AI compute) and enumerates the alert types returned. However, it does not distinguish itself from sibling alert/change tools such as tracker_changes or upcoming_launches, so an agent cannot route between them from the description alone.

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?

The description surfaces a real precondition — a paid Orbitwren Alerts key ($5/month) — which is useful gating information. But it gives no when-to-use guidance relative to siblings like tracker_changes or upcoming_launches, leaving selection to inference.

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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