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Orbital compute projects

orbital_compute_projects
Read-onlyIdempotent

Orbital compute / space data center projects: company, partners, hardware in orbit, launch date, vehicle, status, scale, publicly stated funding, NORAD IDs and source URLs. Filter by company, status, category or text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFree text over company, project, hardware and summary, e.g. TPU or H100
limitNoRows (1-100)
statusNoOne of: scheduled, in orbit, deployed, flown, planned, filed, announced, development
companyNoCompany or partner name (part of it), e.g. starcloud, google
inOrbitNoOnly projects with hardware in orbit now
categoryNoText in the category, e.g. satellite, constellation filing, hardware platform

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuine value by disclosing the returned field set (including NORAD IDs and source URLs), which matters because 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 sentences, densely front-loaded with the resource and its fields, then the filterable dimensions. No filler, though the field enumeration is long enough to make the first sentence heavy.

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?

With no output schema, the description usefully covers the return fields and the filter surface for a six-parameter read tool. It leaves default/pagination behavior of limit and any routing relative to sibling tools unexplained, which is a minor gap given the annotations carry the safety profile.

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 each parameter is already documented, including the enum for status and the free-text target for q. The description only restates the filter dimensions (company, status, category, text) without adding syntax or semantics beyond the schema. 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?

The description names a specific resource (orbital compute / space data center projects) and enumerates the record fields (company, partners, hardware, launch date, vehicle, status, scale, funding, NORAD IDs, source URLs), making the tool's scope clear. However it never uses an explicit verb like 'list' or 'search', leaving the action implied by 'Filter by...'.

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

Usage Guidelines2/5

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

It states which fields can be filtered but gives no guidance on when to prefer this tool over siblings such as compute_satellite_orbits, next_compute_launch, upcoming_launches or tracker_changes. No prerequisites, no when-not-to-use conditions.

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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