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okahari

mcp-orbit-kraken

by okahari

kraken_get_ohlc_data

Get OHLC candlestick data for an asset pair on Kraken, setting interval and pagination cursor for historical data.

Instructions

Obtain open, high, low, close (OHLC) candlestick data for a specific asset pair

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairYesIdentify the asset pair (e.g., XBTUSD) for the OHLC data
sinceNoReturn data since the given ID (pagination cursor from previous calls)
intervalNoSet the time interval in minutes (default 1, valid: 1, 5, 15, 30, 60, 240, 1440, 10080, 21600)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
lastYesLast timestamp
pairYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the operation is 'Obtain' which implies read-only, but does not mention authentication requirements, pagination behavior, rate limits, or any other behavioral traits beyond the literal action. This is minimal disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that immediately identifies the tool's purpose. It contains no extraneous words or repetition.

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 the tool's simplicity, the full schema documentation, and the presence of an output schema, the description is sufficient for an agent to select and invoke the tool. It lacks any caveats about pair format or data limits, but these are not essential for basic usage.

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 description coverage is 100% for all three parameters, including valid interval values and the pagination nature of 'since'. The description adds no additional meaning to the parameters, so the baseline of 3 is appropriate.

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 uses a specific verb 'Obtain' and clearly identifies the resource as 'open, high, low, close (OHLC) candlestick data for a specific asset pair.' This distinguishes it from sibling tools like kraken_get_ticker_info and kraken_get_order_book, which return different market data.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention that this is for historical data or that kraken_get_ticker_info is for current prices. No exclusions or alternative tool references are given.

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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