paper_orders
Retrieve all paper trading orders placed on Indodax for practice without real funds.
Instructions
List paper trading orders
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all paper trading orders placed on Indodax for practice without real funds.
List paper trading orders
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden but only states 'List paper trading orders.' It does not disclose whether this reads from a specific state, requires authentication, or has any side effects. The behavioral disclosure is minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence that is efficient and to the point. However, it could include more detail without becoming verbose, given the 0-parameter simplicity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and no annotations, so the description should clarify what the return value is (e.g., a list of order objects, their fields). It only says 'list orders,' leaving ambiguity about the response structure.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, and schema coverage is 100%. The description adds no parameter details but for 0 parameters the baseline is 4. It could still clarify what 'paper trading orders' means in terms of order types.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists paper trading orders using a specific verb and resource. It distinguishes from siblings like paper_buy or paper_sell, but could be more precise about the scope (e.g., current vs historical).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives like paper_history, open_orders, or order_history. The description does not mention conditions, prerequisites, or limitations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ibidathoillah/indodax-cli'
If you have feedback or need assistance with the MCP directory API, please join our Discord server