Skip to main content
Glama
okahari

mcp-orbit-kraken

by okahari

kraken_cancel_all_orders

Cancel all open orders on your Kraken trading account to clear pending trades and free up funds for new positions.

Instructions

Execute a command to cancel all open orders in the trading account

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesNumber of orders cancelled
Behavior3/5

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

There are no annotations, so the description carries the burden of disclosure. It states the core behavior (canceling all open orders) but does not mention any side effects, permissions required, or irreversibility. The action is simple and self-explanatory, but lacks deeper context that would make it more transparent.

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, well-structured sentence that front-loads the action ('cancel all open orders') with no redundant words. It is optimally concise.

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

Completeness5/5

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

For a zero-parameter, simple action, the description fully explains what the tool does. An output schema exists, so return values are covered elsewhere. Sibling differentiation is clear. No additional context is necessary.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the description does not need to explain any. There is no parameter semantics gap, and the schema already provides full coverage (100%). Baseline 4 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 'cancel' and a clear resource 'all open orders in the trading account', which precisely states the tool's function. It also distinguishes from sibling tools like kraken_cancel_order (singular) and kraken_cancel_all_orders_after (delayed variant).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies a clear use case: when the user wants to cancel every open order. However, it does not explicitly mention alternatives or when not to use it, though the context is straightforward given the tool name and sibling set.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/okahari/mcp-orbit-kraken'

If you have feedback or need assistance with the MCP directory API, please join our Discord server