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player_card_airdrop

Check a player's card airdrop eligibility and recorded claim information without claiming the airdrop.

Instructions

Read card-airdrop eligibility and recorded claim information for one player. This tool never claims an airdrop. Makes one logical GET request 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
modeNo
categoryNo
usernameYes
include_transactionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.0

TDQS

A4.1/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so thoroughly: one logical GET request, no auto-fetching of continuation pages, no implicit filter effectiveness, 100-row/256 KiB array limits, reported truncation, and refusal of oversized records. This gives an agent a detailed, realistic model of tool behavior.

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 every sentence adds distinct operational information, and the core purpose is front-loaded in the first sentence. The behavioral caveats are compactly grouped and not redundant with schema or annotations.

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 single-player read tool with no annotations and no output schema, the description covers the main operational concerns: scope, read-only nature, pagination behavior, filtering caveats, and response size limits. The main gap is the lack of concrete detail on parameter values and return content, but the description is otherwise remarkably complete.

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 treats parameters as a class ('Required inputs reflect tool policy... Other declared filters are forwarded as supplied'), without explaining the meaning or expected values of mode, category, or include_transaction. This is useful context but insufficient for an agent to know how to populate the optional parameters.

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 states a specific action and resource: 'Read card-airdrop eligibility and recorded claim information for one player.' It is clearly distinguished from claim-related tools by the explicit disclaimer, 'This tool never claims an airdrop.'

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 makes the read-only use case clear and explicitly says it never claims an airdrop, which rules out using it for claiming. However, it does not name alternative sibling tools or provide explicit when-to-use/when-not-to-use guidance beyond that single exclusion.

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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