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player_last_focus_rewards

Get a Splinterlands player's last completed focus rewards, including reward quantities and claim details, by providing their username.

Instructions

Return one account's last completed focus from GET /players/last_focus_rewards. The measured public response carried a quest_data object with an id, the account, creation date and block, a name, item counts, a reward quantity and claim details. quest_data.name carries a format such as wild; it does not name an account. quest_data.rewards is a JSON-encoded STRING inside the JSON response and is returned exactly as received; this server does not parse it. Two fields were null on the captured account, so no type is claimed for them. One account was captured.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYes

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

B3.3/5.0
Behavior4/5

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 substantial work: it warns that quest_data.rewards is a JSON-encoded string returned unparsed, that quest_data.name is not an account name, and that no type is claimed for two null fields. It stops short of disclosing empty/no-reward behavior, errors, or explicit read-only guarantees, but for a GET endpoint this is strong transparency.

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

Conciseness3/5

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

The description is front-loaded with the purpose and then adds useful response caveats, but the 'measured public response' framing and the sample-size remark ('One account was captured') add uncertainty and are not clearly actionable for an API consumer. It is reasonably sized but could be tightened.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no annotation to fill gaps, so the description must serve as the contract. It gives a partial field inventory and important type caveats, but it omits exact JSON key names, empty-result behavior, and any parameter semantics, leaving an agent with incomplete ground truth for response handling.

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?

The schema's only parameter, username, has no description (0% schema coverage), and the tool description never explicitly maps 'username' to the account whose focus rewards are returned. The phrase 'one account's' is only an indirect hint, leaving the required parameter's meaning and expected format largely inferred.

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 opening sentence clearly states a specific action and resource: 'Return one account's last completed focus from GET /players/last_focus_rewards.' This is specific enough to identify the endpoint, but it does not explicitly differentiate it from sibling reward tools such as player_current_rewards or player_last_season_rewards.

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 implies the intended use case: retrieving a single account's last completed focus. However, it gives no explicit guidance on when to choose this tool over alternatives, no exclusions, and no mention of related reward tools.

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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