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XavierBeheydt

mcp-kraken

add_order

Place buy or sell orders on Kraken for any asset pair. Supports market, limit, stop-loss, iceberg, and other order types with configurable flags, leverage, and time-in-force.

Instructions

Place a new order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairYesAsset pair (e.g. `XBTUSD`).
typeYes`buy` or `sell`.
ordertypeYes`market`, `limit`, `stop-loss`, `take-profit`, `stop-loss-limit`, `take-profit-limit`, `trailing-stop`, `trailing-stop-limit`, `iceberg`, `settle-position`.
volumeYesOrder quantity in base asset units.
priceNoLimit/stop price.
price2NoSecondary price (e.g. for stop-limit).
leverageNoMargin leverage (e.g. `2:1`).
oflagsNoOrder flags (`post`, `fcib`, `fciq`, `nompp`, `viqc`).
timeinforceNo`GTC`, `IOC`, `GTD`.
starttmNo
expiretmNoExpiration time.
userrefNoUser reference id (integer).
cl_ord_idNoClient order id (string).
validateNoIf True, only validate — do not submit.
close_ordertypeNo
close_priceNo
close_price2No
deadlineNo
reduce_onlyNoReduce existing position only (margin).
stptypeNoSelf-trade prevention behaviour.
triggerNoPrice trigger source (`index` or `last`).
displayvolNo
Behavior2/5

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

With no annotations, the description must disclose side effects. It only states 'Place a new order', implying a write operation but omits effects like submission to the matching engine, potential order fills, or auth requirements. Minimal transparency.

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

Conciseness3/5

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

The description is a single concise sentence, but it sacrifices completeness. For a complex tool with 22 parameters, it is too brief to be fully useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (22 parameters, no output schema, no annotations), the description provides almost no context. It does not explain order lifecycle, return values, or validation behavior, leaving the agent underinformed.

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 73%, so the parameter descriptions already provide significant meaning. The tool description adds no additional parameter context beyond the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Place a new order' identifies a verb and resource but is vague, lacking differentiation from sibling tools like `add_order_batch` or `edit_order`. It does not specify the context (e.g., trade order on an exchange).

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. There is no mention of prerequisites, order types, or when to prefer this over `add_order_batch` or `amend_order`.

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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