Jet Tracker

Operator statistics for a model

jt_operators_stats

Read-onlyIdempotent

AGGREGATED operator statistics of a model in Brazil: distinct operators (by CNPJ root), RBAC 91 vs 135 split, concentration by state, average fleet age, plus as_of (RAB snapshot date), source.url and scope (only mark reservations or tails classified as RBAC 91/135). This aggregate never names operators; jt_fleet_search and jt_owner_fleet do return names (their own access rules apply).

Input Schema

TableJSON Schema

Name	Required	Description	Default
`slug`	Yes	Slug do modelo.

Output Schema

TableJSON Schema

Name	Required	Description
`code`	No	Machine-readable error code (INTERNAL, TIMEOUT, INVALID_ARGUMENT, NOT_FOUND, TOOL_FAILED, ACCOUNT_KEY_REQUIRED).
`_meta`	No
`error`	No
`found`	No
`gated`	No
`requestId`	No
`retryable`	No
`quota_exceeded`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 28, 2026

changedOutput schema / properties / _meta / required

Previous value: -[
-  "tool",
-  "tier",
-  "source",
-  "asOf",
-  "gated",
-  "via"
-]New value: +[
+  "tool",
+  "source",
+  "asOf",
+  "gated",
+  "via"
+]

Changed8 schema fields changedSep 16, 2026

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"
+}
```

First observedSep 11, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations already cover read-only/idempotent/non-destructive/closed-world, so the description's added value is real: it discloses that this aggregate never names operators (a privacy constraint), defines the RBAC 91/135 scope filter, and describes as_of and source.url. It stops short of discussing caching, pagination, or freshness beyond the snapshot date.

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, front-loaded with what the aggregate contains, then the name-vs-aggregate contrast and alternative tools. Dense but each clause carries information; only the parenthetical scope definition is slightly cluttered.

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?

An output schema exists, so return values need not be explained, yet the description still usefully names key fields. Combined with the scope definition, the no-names behavior, and the sibling routing, an agent has enough to call this correctly; only explicit prerequisites or error behavior 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?

There is only one parameter (slug) and the schema documents it at 100% coverage with length constraints, so the schema carries the burden. The description implies the slug identifies the model, but adds no format or lookup guidance beyond that, matching the baseline for fully-covered schemas.

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 (aggregated statistics) and resource (operators of a model, in Brazil), and enumerates the exact dimensions returned (distinct operators by CNPJ root, RBAC 91/135 split, concentration by state, average fleet age). This clearly separates it from sibling stats tools like jt_fleet_stats or jt_operator_profile.

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?

It explicitly names the alternatives jt_fleet_search and jt_owner_fleet and states the condition that distinguishes them: those tools return operator names, this one never does. That is a clear routing signal, though there is no explicit 'use this when' phrasing or stated exclusions beyond that contrast.

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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