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get_orders

Retrieve recent Costco order history to track purchases, review past transactions, and monitor order status through the mcp-costco server.

Instructions

View Costco order history

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of recent orders to return (default: 10)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'View' implies a read-only operation, but the description doesn't specify whether authentication is required, what data is returned (e.g., order details, dates, statuses), or any limitations like rate limits or access constraints. This leaves significant gaps for an agent to understand the tool's behavior.

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, efficient phrase ('View Costco order history') that is front-loaded and wastes no words. It directly conveys the core purpose without unnecessary elaboration, making it highly concise and well-structured for quick understanding.

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 the lack of annotations and output schema, the description is incomplete for a tool that likely returns order data. It doesn't explain what 'order history' includes (e.g., list of orders, details per order), potential authentication needs, or how results are formatted. For a read operation with no structured output documentation, this leaves too many unknowns for effective use.

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 'limit' clearly documented in the schema. The description doesn't add any parameter-specific information beyond what's in the schema, so it meets the baseline of 3 where the schema does the heavy lifting without extra value from the description.

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 'View Costco order history' clearly states the verb ('view') and resource ('Costco order history'), making the purpose immediately understandable. However, it doesn't distinguish this tool from potential siblings like 'track_order' or 'status' that might also relate to orders, so it misses full differentiation.

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. With siblings like 'track_order' and 'status' that might overlap with order-related functionality, there's no indication of when this tool is appropriate or what distinguishes it from other tools in the server.

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

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