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XavierBeheydt

mcp-kraken

get_ledgers

Access your Kraken account ledger entries—deposits, withdrawals, trades, fees—with optional filters by asset, type, or time range.

Instructions

Return ledger entries (deposits, withdrawals, trades, fees…).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetNoRestrict to specific assets.
aclassNoAsset class filter (default `currency`).
typeNoEntry type filter (`deposit`, `withdrawal`, `trade`, ...).
startNoUnix start time, exclusive.
endNoUnix end time, exclusive.
ofsNoPagination offset.
without_countNoSkip total-count computation for speed.
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only says 'Return ledger entries' without mentioning pagination, performance, or that it is a read operation (though implied). The description does not add significant behavioral context beyond the schema.

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 one short sentence with no wasted words. It is concise, though it could benefit from slight expansion for clarity.

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?

Given no annotations, no output schema, and 7 parameters, the description is incomplete. It does not explain what ledger entries are, how pagination works, or how this tool differs from similar ones like 'query_ledgers'.

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 100%, so param descriptions are already present. The description adds a list of entry types that aligns with the 'type' parameter, but no additional meaning beyond what the schema provides. Baseline of 3 is appropriate.

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 states the tool returns ledger entries and lists examples (deposits, withdrawals, trades, fees). This is clear and specific. However, it does not differentiate from the sibling tool 'query_ledgers', which likely serves a similar purpose.

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?

No guidance on when to use this tool versus alternatives like 'query_ledgers'. Context about use cases, prerequisites, or scenarios is absent.

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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