Skip to main content
Glama

create_algo_order

Create algorithmic orders such as stop loss and take profit to automate trading strategies. Set trigger prices and order types for conditional execution.

Instructions

Create an algorithmic order (stop loss, take profit, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideNoOrder side
typeNoOrder type
priceNoOrder price
symbolYesTrading symbol
quantityNoOrder quantity
algo_typeYesAlgorithm order type
order_tagNoOrder tag
reduce_onlyNoReduce only flag
child_ordersNoChild orders for complex algos
trigger_priceNoTrigger price
client_order_idNoCustom order ID
visible_quantityNoVisible quantity flag
trigger_price_typeNoTrigger price type
Behavior2/5

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

No annotations exist, so the description carries full burden. It only says 'Create an algorithmic order' with no disclosure of side effects, permissions, reversibility, or behavioral traits beyond creation.

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

Conciseness4/5

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

The description is a single concise sentence, front-loading the core purpose. However, it is under-specified and could include more context without sacrificing conciseness.

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

Completeness2/5

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

Given 13 parameters, no output schema, and no annotations, the description lacks completeness. It does not mention required fields, parameter interactions, or typical usage patterns.

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 100%, so baseline is 3. The description adds no parameter-specific meaning beyond what the schema already provides via property descriptions.

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 verb 'Create' and the resource 'algorithmic order', with examples (stop loss, take profit). It distinguishes from regular orders but not from other algorithmic order tools or batch 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?

No usage guidance provided. Does not indicate when to use this tool versus siblings like create_order or batch_create_orders, nor any prerequisites or exclusions.

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/DaunteEth/woofi-pro-mcp'

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