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bit2me-devs

Bit2Me MCP Server

by bit2me-devs

earn_get_movements

Retrieve movement history for all Earn positions, including deposits, rewards, withdrawals. Filter by symbol, position, type, date range, and paginate results.

Instructions

Get movement history across all Earn positions. Returns movements with type (deposit, reward, withdrawal, discount-funds, discount-rewards, fee), amounts, dates, rates, source, and issuer information. Supports filtering by symbol, position_id, type (deposit, reward, withdrawal, discount-funds, discount-rewards), date range, and pagination. All parameters are optional. Response is a paginated list with metadata. [PRIVATE]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_symbolNoUser's symbol for conversion
symbolNoFilter by specific symbol
related_symbolNoFilter by related asset symbol (e.g., BTC, ETH)
position_idNoFilter by Earn position UUID
start_dateNoStart date-time (ISO 8601)
end_dateNoEnd date filter (ISO 8601 format, e.g., 2024-12-31T23:59:59Z)
typeNoFilter by movement type. Valid values: deposit, reward, withdrawal, discount-funds, discount-rewards
limitNoMaximum results (default: 20, max: 100)
offsetNoPagination offset (default: 0)
sort_byNoField to sort results by (default: createdAt)
jwtNoOptional session token for authentication. API keys are recommended for most use cases.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It mentions it returns a paginated list with metadata and lists the types of movements, but lacks details on authentication requirements, rate limits, or side effects. The [PRIVATE] tag hints at data sensitivity but is not explained.

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?

Four sentences, front-loaded with the main purpose. No redundant information, but the list of types could be omitted since it repeats the schema. Still, it is efficient and well-structured.

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?

For a tool with 11 optional parameters and no output schema, the description covers the main functionality and filters. However, it does not explain the meaning of the [PRIVATE] tag or how this tool differs from closely related siblings, leaving some context gaps.

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?

All 11 parameters have schema descriptions, so baseline is 3. The description adds minor value by stating 'All parameters are optional' and listing the types again, but does not provide additional meaning beyond what's in the schema.

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?

Clearly states the tool retrieves movement history across all Earn positions, specifying the resource (Earn positions) and action (get movement history). It distinguishes itself from sibling tools like earn_get_movements_summary and earn_get_position_movements by indicating it covers all positions.

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?

Implies usage by listing filters and noting all parameters are optional, but does not explicitly state when to use this tool versus alternatives like earn_get_position_movements or earn_get_movements_summary. Contextual differentiation is only implicit.

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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