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okahari

mcp-orbit-kraken

by okahari

kraken_cancel_order

Cancel an active Kraken order by providing its transaction ID or user reference to prevent execution.

Instructions

Cancel an active order on Kraken using its unique identifier

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
txidNoSpecify the Kraken order ID (txid) or user-defined reference (userref)
cl_ord_idNoOptional client order id used during order placement (reuse the exact same unique value).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesNumber of orders cancelled
pendingNoWhether cancellation is pending
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states the core action without detailing irreversibility, permission requirements, behavior for already-filled or unknown orders, or any side effects. This is a significant gap for a mutation tool.

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 sentence that is direct, front-loaded, and free of unnecessary words. Every word contributes to stating the purpose, making it an exemplar of conciseness.

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?

The tool is simple, the schema fully documents parameters, and an output schema exists. However, the description lacks contextual detail about when to prefer this tool over its siblings, and does not hint at edge cases like cancelling non-existent or already-cancelled orders. It is minimally viable but not comprehensive.

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?

The input schema provides 100% coverage for both parameters (txid and cl_ord_id) with descriptive text. The tool description adds no additional parameter semantics beyond the schema, so the baseline of 3 applies.

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 clearly states the action (cancel), the target (an active order on Kraken), and the method (using its unique identifier). It distinguishes from sibling tools like kraken_cancel_all_orders by specifying a single order with a unique identifier.

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 is provided about when to use this tool versus alternatives such as kraken_cancel_all_orders or kraken_edit_order. The description implies usage for canceling a single order but does not mention exclusions or alternative scenarios.

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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