Skip to main content
Glama
alpacahq

alpaca-mcp-server

Official
by alpacahq

cancel_order_by_id

Cancel a specific trading order using its unique ID to manage positions and control risk in the Alpaca trading platform.

Instructions

Cancel a specific order by its ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
order_idYesorder id
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool cancels an order but does not explain what 'cancel' entails (e.g., whether it's reversible, if it requires specific order states like 'open', potential side effects, or error conditions). This leaves significant gaps 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, direct sentence with no wasted words, making it easy to parse and front-loaded with the core action. Every part of the sentence contributes essential information efficiently.

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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It lacks details on behavior (e.g., cancellation effects, error handling), usage context, and output expectations, leaving the agent with incomplete guidance despite the simple parameter schema.

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 has 100% description coverage, with the single parameter 'order_id' documented as a UUID. The description adds no additional semantic context beyond what's in the schema, such as where to find the ID or validation rules, so it meets the baseline for high schema coverage.

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 action ('Cancel') and target resource ('a specific order by its ID'), making the purpose immediately understandable. However, it does not explicitly differentiate from sibling tools like 'cancel_all_orders' or 'replace_order_by_id', which would be needed for a perfect score.

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 'cancel_all_orders' or 'replace_order_by_id', nor does it mention prerequisites such as order status or permissions. It simply states what the tool does without contextual usage information.

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/alpacahq/alpaca-mcp-server'

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