Skip to main content
Glama
zacacollier

Kraken Pro MCP

by zacacollier

Get Recent Trades

get_recent_trades

Fetches recent trade data for a Kraken Pro trading pair, showing individual fills with timestamps and prices to track market activity.

Instructions

Get recent trades for a trading pair

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairYesTrading pair (e.g., XBTUSD, ETHUSD)
sinceNoReturn trades since given timestamp (optional, for pagination)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure and largely fails it. It does not say how many trades are returned by default, whether results are ordered or capped, whether pagination via 'since' walks forward or backward, or whether there are rate limits.

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?

A single short sentence with no wasted words, and the core operation is front-loaded. It is efficient, though its terseness borders on under-specification rather than true concision.

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?

For a read tool with no output schema, the description does not indicate the shape, count, or ordering of returned trades, leaving the agent unable to predict what comes back. With no annotations to cover safety or limits either, the definition is thin relative to what an agent needs to call it confidently.

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%, with both 'pair' and 'since' documented including examples and the pagination purpose. The description adds no meaning beyond that, so the baseline 3 for high-coverage schemas applies.

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 a specific verb (get) and resource (recent trades) scoped to a trading pair, so the basic operation is unambiguous. It offers no differentiation from closely related siblings like get_recent_spreads, get_ohlc_data, or get_order_book, which an agent must distinguish on its own.

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?

There is no guidance on when to use this tool versus alternatives, nor any mention of prerequisites or context. The agent is left to infer that 'recent trades' is distinct from 'recent spreads' or OHLC data entirely from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.