Skip to main content
Glama

create_dca_order

Set up dollar-cost averaging (DCA) orders for crypto tokens. Schedule recurring purchases or trigger buys based on price, market cap, or liquidity changes.

Instructions

Create a DCA order.

Expects a DCAOrderRequestContainer, returns a list of DCAOrderResponse.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dca_order_requestsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

No annotations are provided, yet the description fails to disclose any behavioral traits such as side effects, required permissions, or order lifecycle implications. The only behavioral detail is the return type, which 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.

Conciseness2/5

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

The description is extremely short (two sentences), but this is not concise in a helpful way. It omits critical information, making it under-specified rather than efficiently structured.

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—13 required fields with enums, conditional parameters, and nested objects—the description is grossly inadequate. The agent cannot properly construct a request without external knowledge.

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

Parameters1/5

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

Schema description coverage is 0%, meaning the description does not explain the parameters. It merely restates that it expects a DCAOrderRequestContainer, adding no value beyond the schema. The complex nested schema with conditional fields is left entirely unexplained.

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 clearly states the tool creates a DCA order, using a specific verb and resource. However, it does not differentiate from the sibling tool 'create_order', which might be confused with a plain order creation.

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?

The description provides no guidance on when to use this tool versus alternatives like 'create_order', 'cancel_dca_order', or 'list_dca_orders'. There is no mention of prerequisites or context.

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/aurora-smith-ts58tc/armor-crypto-mcp'

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