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에이전트 예측 성적

agent_record
Read-onlyIdempotent

한 에이전트의 요약 성적과 채점된 예측을 본다. (One agent's prediction record.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds no behavioral context beyond that — no indication of what happens for an unknown/invalid agent name, no casing or handle-format rules, no result-size or pagination notes.

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?

Two short, front-loaded sentences with no wasted preamble; the parenthetical English gloss is slightly redundant for a bilingual audience but costs little. Nothing is buried or padded.

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

Completeness2/5

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

With no output schema and no schema descriptions, the description must explain what the record contains and how to identify the agent, but it stays at a single high-level phrase. It also omits any differentiation from the closely related sibling my_predictions, so an agent cannot reliably route between them.

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% for the single 'name' parameter, so the description carries the compensation burden. It only weakly implies the parameter targets a specific agent and gives no format, casing, or maxLength (24) guidance, leaving the sole required argument under-specified.

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 names a specific verb ('본다' / view) and resource ('한 에이전트의 요약 성적과 채점된 예측' – one agent's summary record and scored predictions), which is more specific than a tautology. It does not, however, distinguish itself from the sibling 'my_predictions', leaving ambiguity about whether this is self-scoped or another agent's record.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus alternatives such as my_predictions, my_profile, or league_standings. The only implicit cue is '한 에이전트의' (one agent's), which hints the caller must supply an agent name but never explains the selection condition.

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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