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bybit-exchange

Bybit MCP Server

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getPredictionGroupStageDetail

Query detailed standings and match results for a tournament stage by providing event type and stage code. Returns group tables or bracket information to help users make informed prediction bets.

Instructions

Query detailed standings and match results for a specific tournament stage. Returns group tables with team statistics for group stages, or bracket information for knockout stages.

Use stageCode from getPredictionTimelineStages to specify which stage to query. Valid stageCodes: Groups, R32, R16, QF, SF, Final.

AI agent can use this to provide context about team performance when helping users make informed prediction bets.

Agent hint: Use this to get group standings or knockout results for a specific tournament stage. stageCode must be one of: Groups, R32, R16, QF, SF, Final. Use this context to help users make informed betting decisions. eventType=1 is FIFA_2026.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventTypeYes
stageCodeYes
Behavior4/5

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

With no annotations, the description bears full responsibility for behavioral transparency. It accurately describes return types: group tables for group stages and bracket info for knockout stages. It also states the tool is for providing context for betting decisions, implying it is a read-only operation. No contradictions noted.

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 contains some repetition, especially in the agent hints section which essentially restates earlier information. While the structure is logical (purpose, parameter explanation, agent guidance), it could be more streamlined to avoid redundancy.

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

Completeness4/5

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

Given no output schema and two parameters, the description adequately explains what the tool returns (standings, match results, group tables, bracket info) and how to use it in conjunction with getPredictionTimelineStages. It provides sufficient context for an AI agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, but the description explains the meaning of both parameters: eventType=1 is FIFA_2026, and stageCode must be one of Groups, R32, R16, QF, SF, Final. This fully compensates for schema omissions, adding critical semantic context beyond enum lists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool returns detailed standings and match results for a specific tournament stage, distinguishing between group tables and bracket info. References associated tool getPredictionTimelineStages for obtaining stageCode, which clarifies its role in the tool ecosystem.

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?

Provides explicit guidance on when to use the tool: to query group standings or knockout results. Specifies valid stageCode values and mentions eventType=1 corresponds to FIFA_2026. However, it does not explicitly mention when not to use this tool or suggest alternative tools, leaving some gaps.

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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