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vapi_market_player_asset_detail_stats

Get owned and listed counts for a player's asset detail by providing asset, detailId, and player. Returns the exact upstream counts without inferring their relationship.

Instructions

Read the upstream owned and listed counts for one account and asset/detailId. PACKS/RIFT returned owned=0 and listed=2. Counts are returned unchanged; their arithmetic relationship is not inferred. Makes one logical GET request and does not auto-fetch continuation pages. Required inputs reflect tool policy as well as measured upstream requirements. Other declared filters are forwarded as supplied; their effectiveness is not implied by the schema. Array responses are locally limited to 100 rows and 256 KiB, with truncation reported in text and metadata. Oversized records are refused without partial fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetYes
playerYes
detailIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.0

TDQS

A3.7/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral burden and does so thoroughly. It discloses that this is a single logical GET, does not auto-fetch continuation pages, returns counts unchanged without inferring arithmetic relationships, truncates arrays at 100 rows/256 KiB, reports truncation in text and metadata, and refuses oversized records without partial fields.

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 front-loaded with the core purpose and each sentence adds some useful behavioral caveat. It is slightly dense and includes some boilerplate-sounding warnings, such as 'other declared filters are forwarded as supplied,' which are not clearly supported by the schema, but overall it remains efficient for the amount of behavior it covers.

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 no-annotations, no-output-schema tool, the description covers purpose, request behavior, response limits, and failure handling well. The main gaps are per-parameter guidance and explicit routing among the many market/player sibling tools, but the core invocation context is largely present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, but it only partially does. It connects 'account' and 'asset/detailId' to the data scope, yet it never explains each parameter individually, what values are expected, or what distinguishes 'asset' from 'detailId.' The statement about 'required inputs reflect tool policy' is meta information, not parameter semantics.

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 verb ('Read'), a specific resource ('upstream owned and listed counts'), and a precise scope ('one account and asset/detailId'). It is clear enough for an agent to understand what the tool returns, though it never explicitly contrasts it with sibling tools like vapi_market_player_listings.

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 context is implied by the first sentence: use this tool when you need owned and listed counts for one account/asset/detailId. However, the description does not explicitly state when not to use it or which sibling tool should be chosen for related needs such as full listings or activity, so the agent must infer selection.

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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