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Data freshness, access and quota

jt_status
Read-onlyIdempotent

Health of the Jet Tracker data behind the tools: last sync of each source (RAB/ANAC registry, Receita Federal records, FAA registry, tracked flights, market listings, GAMA report, RBAC 91K programs) with lag in hours, tracking coverage, the tools this key can call, and the daily quota used, remaining and resetAt (UTC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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. Changed1 schema field changed
    • changedOutput schema / properties / _meta / required
      Previous value: -[
      -  "tool",
      -  "tier",
      -  "source",
      -  "asOf",
      -  "gated",
      -  "via"
      -]New value: +[
      +  "tool",
      +  "source",
      +  "asOf",
      +  "gated",
      +  "via"
      +]
  2. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and non-destructive, so safety is covered; the description adds genuine context by disclosing that callable tools are scoped to the API key and that quota has used/remaining/resetAt in UTC. It does not state whether calls are counted against quota or any auth/permission requirements beyond the key, leaving a small gap.

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 sentence, front-loaded with the core purpose ("Health of the Jet Tracker data behind the tools"). The long parenthetical list of sources is dense but ordered and scannable; slightly more than needed given the enumeration is also implied by the output schema.

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 an output schema present, the description need not explain return values, and it correctly focuses on scope and the identity of the data sources. The only shortfall is the absence of usage guidance (when to call it relative to other tools), which a status tool would benefit from.

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?

The tool takes zero parameters, so the baseline is 4; there is nothing for the description to clarify beyond what is already implied. No parameter meaning is missing because none exist.

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?

States a specific verb+resource: reports the health/freshness of the Jet Tracker dataset behind the tools. It enumerates the concrete payload (per-source last sync and lag, coverage, callable tools, quota) so an agent can immediately distinguish this meta/status tool from the 39 data-querying siblings.

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?

Usage is only implied: an agent can infer it should be called to check freshness or remaining quota before/around data calls, but the description never says when to use it versus alternatives or any precondition. No exclusions or alternatives are named.

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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