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Global factory deliveries (GAMA)

jt_global_fleet_stats
Read-onlyIdempotent

Worldwide general aviation factory shipments from the GAMA Shipment Report (2005 to the current quarter): view "industry" (jets, turboprops, pistons, turbine helicopters and billings by year), "regions" (business jets by region), "oems" (by manufacturer) or "models" (by model group, filter by oem or query). Deliveries, not fleet in service; current year is partial.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
oemNoManufacturer filter (embraer, textron, bombardier, gulfstream, dassault, pilatus...).
topNoMax rows for oems/models. Default 15.
kindNoFor models view. Default jet.
viewYesindustry = shipments and billings by aircraft type; regions = by world region; oems = ranking by manufacturer; models = ranking by model (use kind, oem, query).
queryNoModel text filter for the models view (phenom, citation, g650).
sinceNoFirst year to include. Default: last 10 years.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoMachine-readable error code (INTERNAL, TIMEOUT, INVALID_ARGUMENT, NOT_FOUND, TOOL_FAILED, ACCOUNT_KEY_REQUIRED).
_metaNo
errorNo
foundNo
gatedNo
requestIdNo
retryableNo
quota_exceededNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed8 schema fields changed
    • addedOutput schema / properties / _meta / properties / asOf / description
      Added value: +"Alias of sourceUpdatedAt (kept for compatibility)."
    • addedOutput schema / properties / _meta / properties / generatedAt
      Added value: +{
      +  "description": "When this response was produced (ISO 8601).",
      +  "type": "string"
      +}
    • addedOutput schema / properties / _meta / properties / observedAt
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "description": "Last event actually observed in the data returned (last flight, last arrival, last listing sighting)."
      +}
    • addedOutput schema / properties / _meta / properties / sourceUpdatedAt
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "description": "Last sync of the underlying source (RAB snapshot, registry import, listing scan). Never in the future."
      +}
    • addedOutput schema / properties / _meta / properties / validUntil
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "description": "Expiry of the fact returned, when it has one (CVA validity, period end)."
      +}
    • addedOutput schema / properties / code
      Added value: +{
      +  "description": "Machine-readable error code (INTERNAL, TIMEOUT, INVALID_ARGUMENT, NOT_FOUND, TOOL_FAILED, ACCOUNT_KEY_REQUIRED).",
      +  "type": "string"
      +}
    • addedOutput schema / properties / requestId
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / retryable
      Added value: +{
      +  "type": "boolean"
      +}
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark readOnly, idempotent, and non-destructive. The description adds provenance (GAMA Shipment Report), time range, and the partial-current-year data caveat, which goes beyond the annotations without contradicting them.

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?

A single, well-organized sentence front-loads the core purpose, uses parenthetical lists for the views, and ends with a useful caveat. It is dense but not verbose, and every clause earns its place.

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 moderately complex tool with a fully documented schema, an output schema, and informative annotations, the description covers the essential context: data source, time coverage, view semantics, and the partial-year caveat. No significant gaps remain for an agent to call it correctly.

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 coverage is 100%, so the baseline is 3. The description enriches the view parameter by explaining what each view returns in more detail than the schema, including the contents of the industry view and the filters for models. This adds genuine semantic value.

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 states a specific verb and resource: 'factory shipments from the GAMA Shipment Report' with a clear scope (worldwide, 2005–current quarter) and explicitly enumerates the four view modes. The closing note 'Deliveries, not fleet in service' clearly differentiates it from fleet-oriented sibling 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 gives clear context that this returns shipments, not fleet in service, and warns that the current year is partial. This is an explicit when-not (do not use for fleet in service) and a data completeness caveat, but it does not name alternative tools for fleet data, so it stops short of a full 5.

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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