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player_reward_delegations

Retrieve reward-delegation rows for a specific player in a single request, preserving original percent types. Responses are capped at 100 rows or 256 KiB, with truncation reported.

Instructions

Read current reward-delegation rows for one player. Percent values are returned with their original wire types. 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
usernameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.0

TDQS

A3.6/5.0
Behavior5/5

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

With no annotations present, the description carries the full burden of behavioral disclosure, and it does well: it states it makes one logical GET, does not auto-fetch continuation pages, returns percent values with original wire types, applies local truncation limits on arrays, reports truncation in text and metadata, and refuses oversized records without partial fields. This goes substantially beyond what the sparse schema or annotations would otherwise communicate.

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 front-loaded with the core purpose and then all behaviour is compactly conveyed. Its length is justified because it has to supply response/request characteristics that would otherwise be missing without annotations or an output schema. A couple of statements, like 'Required inputs reflect tool policy', add little actionable detail, but overall it is structured and efficient.

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?

The description covers the main behavioral facts: GET semantics, output type for percent values, pagination non-behavior, limits, truncation, and refusal of oversized records. However, because there is no output schema and no field-level detail, the agent still lacks a clear picture of what a reward-delegation row contains or what the returned structure looks like, and the 'declared filters' wording is unclear against the enforced single-parameter schema.

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 has 0% description coverage and one actual parameter, username. The description only minimally associates username with "one player" and gives no further explanation of format, validation, or how the parameter maps to the endpoint. The note about "other declared filters being forwarded" is confusing because the schema declared only username and additionalProperties is false, so it does not compensate for the parameter documentation gap.

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 a specific verb and resource: it reads "current reward-delegation rows for one player." The word "current" helps distinguish this from the sibling sibling 'player_reward_delegation_history' and similar player-related endpoints, though it does not explicitly name alternative tools.

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 phrase "for one player" and "current reward-delegation rows" imply when to use the tool, giving agents a basic selection context. However, the description never explicitly contrasts this with the sibling player_reward_delegation_history or other delegation endpoints, and it gives neither exclusions nor when-not-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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