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cards_get_details

Get card definitions from Splinterlands by type, ensuring responses stay within size limits and returning per-level stats, abilities, and editions.

Instructions

List the card-definition rows returned by GET /cards/get_details. The type query is a real upstream filter: type=Summoner returned 107 rows versus 1101 rows from the bare route. The bare upstream response measured about 1.17 MB, so this server refuses an unfiltered call before sending it because the response exceeds this server's 256 KB result bound and would otherwise be reduced to status alone with the data dropped. That refusal is this server's size-based choice from the measured response, not an upstream rule; provide type to make a filtered call. Each returned definition carries id, name, color, type, sub_type, rarity, drop_rate, per-level stats, abilities, editions, total_printed and distribution fields. The measured route carried no BCX, donor or account-attribution field. Successful filtered metadata responses are cached for 24 hours; provenance reports the route and the original fetch time. This tool reports the filtered rows returned and does not add per-instance ownership data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.2
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observedv0.0.0

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral disclosure burden and does so exceptionally well. It reveals the server-side size-based refusal, that the refusal is this server's choice rather than an upstream rule, 24-hour caching, provenance reporting, and the absence of BCX/donor/account-attribution 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 long but densely informative, and nearly every sentence contributes behavioral or exclusionary context that the schema and annotations do not provide. Some redundancy exists around the ownership-data point, but the front-loaded purpose and structured flow keep it usable.

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?

Given no annotations and no output schema, the description is unusually complete: it states the result fields, the filtering requirement, the refusal behavior, caching, provenance, and what the tool intentionally does not return. An agent has enough context to call it correctly and to set expectations about the response.

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?

Schema coverage is 0%, so the description must explain what 'type' means, and it does: it is a real upstream filter, a concrete example (type=Summoner) is given, and omitting it leads to refusal. It stops short of enumerating valid type values, but the semantic and consequence of the parameter are clearly conveyed.

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 first sentence names a specific verb ('List') and resource ('card-definition rows... GET /cards/get_details'), making the core action clear. It also notes the tool does not add per-instance ownership data, which partially distinguishes it from inventory-style siblings, though it never names a specific sibling.

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?

The description gives explicit usage context: the unfiltered route exceeds the server's 256 KB result bound and is refused, so the agent is told to provide 'type' to make a filtered call. It does not name an alternative tool or state when a sibling should be used instead, so it stops short of full routing 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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