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bybit-exchange

Bybit MCP Server

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getLPOrderList

Retrieve LP order history with filters to verify stake/redeem results and check pending order completion.

Instructions

Query the user's LP order history (stake and redeem operations) with optional filters. Returns paginated order list including order status, amounts, fees, and execution time.

AI agent should call this after executing stake/redeem to confirm the result to the user. Poll with appropriate orderStatus filter to check if a pending order has completed.

Do NOT use this endpoint to get position details — use getLPPositionList instead.

Agent hint: Use this endpoint to check order status after executing stake/redeem, or when user asks about order history. After executeLPStake or executeLPRedeem, poll this endpoint and match the response items by orderNo (orderNo is a response field; this endpoint accepts no orderNo input — filter the listing by orderType and orderStatus instead). Do NOT use this to check current positions — use getLPPositionList for that.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderTypeNo0
tokenCodeNo
orderStatusNo
daysNo
limitNo
pageIndexNo
poolAddressNo
Behavior5/5

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

No annotations provided; description fully covers behavior: returns paginated orders with status, amounts, fees, execution time, does not accept orderNo input but response includes it, and clarifies polling behavior.

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?

Well-structured with clear sections, front-loaded with purpose, and each sentence adds value. Slightly wordy but not excessive.

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, no annotations, and 7 parameters, the description provides good context: purpose, usage pattern, expected response fields. Could include more param details but overall sufficient.

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

Parameters3/5

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

Schema coverage is 0%; description mentions 'optional filters' and specific filter usage (orderType, orderStatus) but does not explain all 7 parameters (e.g., tokenCode, days, limit, pageIndex, poolAddress). Partially compensates for missing schema descriptions.

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?

The description clearly states the tool queries LP order history (stake and redeem) with optional filters, and explicitly distinguishes from sibling getLPPositionList for position details.

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

Usage Guidelines5/5

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

Provides explicit guidance: call after executing stake/redeem, poll with orderStatus filter, do not use for positions. Includes agent hint with specific match by orderNo.

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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