Skip to main content
Glama

cards_ca_gold_rewards

Get public gold-reward counts for Splinterlands cards. Query exact values directly, with responses limited to 100 rows to avoid oversized data.

Instructions

Read the public card gold-reward counts. The response is a bare array and count remains a JSON string exactly as sent by the upstream. Uses a bounded success cache keyed by exact supplied query, otherwise 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

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.3

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden and does an excellent job. It discloses caching behavior, response format (bare array, JSON string counts), pagination behavior, local row/size limits, truncation reporting, and refusal of oversized records. This is far beyond what annotations would typically provide.

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 well-organized, front-loading the core purpose and then covering behavioral details. Every sentence adds value, though the length is slightly high for a zero-parameter tool. It could be trimmed slightly without losing essential information.

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 zero-parameter, no-output-schema tool, the description is remarkably complete. It covers what the tool does, how it behaves, limits, truncation, and refusal behavior. An agent has everything needed to call it correctly and interpret 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?

The schema has zero parameters, so there are no parameter semantics to document. The description explains that required inputs reflect tool policy and upstream requirements, and that other declared filters are forwarded as supplied. This is a baseline 4 for a zero-parameter tool, with the description adding useful context about how inputs are handled.

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 clearly states the tool reads public card gold-reward counts, which is a specific verb and resource. It distinguishes itself from siblings by focusing on gold-reward counts, though it doesn't explicitly name a sibling alternative.

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 provides clear context: it reads public data, uses a bounded cache, makes one logical GET request, and does not auto-fetch continuation pages. It doesn't explicitly state when to use this tool versus alternatives, but the scope is clear enough for an agent to select it appropriately.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools