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Market listings for a model

jt_market_listings
Read-onlyIdempotent

For-sale listings of a catalog model (slug or alias, whole family) tracked by Jet Tracker: total and active count, priceStats (n, min, median, max) over active priced listings, and a sample with portal, listing URL, country/region, first and last seen and effectiveStatus (active, stale = not re-seen for 30+ days, expired = 60+ days). Prices as advertised by portals, not appraisals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSlug do modelo (ex: embraer-phenom-300).

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

A4.4/5.0
Behavior5/5

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

Even with readOnlyHint and idempotentHint already present, the description adds substantial behavioral context: it defines effectiveStatus values with time thresholds (active, stale 30+ days, expired 60+ days), explains that priceStats is computed over active priced listings, and clarifies that prices are portal-advertised rather than appraisals. This goes well beyond what annotations alone convey.

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?

The description is dense but purposeful: every clause carries operational meaning, and the core subject is front-loaded. It is one long sentence, which hurts readability slightly, but there is no filler or redundant restatement of the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read-only listing tool, the description covers the data scope, output statistics, sample fields, status semantics, and a key data-quality caveat. An output schema exists for detailed return structure, so this description is sufficient for an agent to select and invoke the tool 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?

The schema already documents 'slug' with an example at 100% coverage. The description adds meaning by stating that the slug can be a slug or an alias and that it addresses the whole model family, which is useful interpretive context not present in the schema field description.

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 names a specific resource ('catalog model') and a specific output ('total and active count, priceStats', sample listings). It also distinguishes the tool from potential siblings by emphasizing 'for-sale listings' tracked by Jet Tracker and explicitly noting 'Prices as advertised by portals, not appraisals', which separates it from appraisal-style tools.

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 implies the use case: when you need for-sale listings for a catalog model via slug or alias. It does not explicitly name alternative tools or state when not to use this tool, leaving some routing to inference. The 'not appraisals' caveat partially clarifies what it is not.

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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