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collector_player

Retrieve a player's collector overview with binder summaries in one GET request, preserving original fields and refusing oversized records.

Instructions

Read one player collector overview with binder summaries. Preserve original fields and relative asset paths. One GET, no card metadata fan-out, purchases or layout changes. Oversized objects are refused as a whole. 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
playerYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.0

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations present, the description carries the full behavioral burden and does a thorough job: it covers one-GET semantics, refusal of oversized objects, no continuation-page fetching, row and byte caps, truncation reporting, and the non-guarantee of filter effectiveness. This is substantial behavior disclosure beyond the bare schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but efficient, starting with the core purpose and then adding behaviorally important constraints without filler or repetition. Each sentence contributes meaningful information.

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 one-parameter read tool with no output schema or annotations, the description is unusually complete: it covers limits, truncation, refusal behavior, and no auto-fetching. It could be slightly more complete by naming the return shape or not-found behavior, but it is not a significant gap.

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?

Schema description coverage is 0%, so the description must compensate, but it does not explain what 'player' means beyond the schema's generic string type. It does add useful policy context around required inputs, but the single parameter's semantics are left mostly to inference from the tool name.

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 opens with a specific verb and resource: 'Read one player collector overview with binder summaries,' which is unambiguous and frames the tool's scope. It also distinguishes it from broader or mutation-style siblings by explicitly ruling out 'card metadata fan-out, purchases or layout changes.'

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 gives clear usage context by stating this is a single GET with no pagination, no purchases, no layout changes, and it cautions about forwarded filters. It does not name an alternative tool or explicitly say 'use X instead,' so it stops short of fully explicit when-to-use guidance.

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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