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Northside Intelligence WebMCP

ni_store_order

Buy an item from the Northside Intelligence Smart Store (US shipping). Card payment and shipping details are collected on Stripe checkout; returns checkout_url and order_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_skuYesProduct SKU
quantityYes
shipping_addressYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden, and it does add useful context: payment and shipping are handled via Stripe checkout, and the tool returns checkout_url and order_id. But it stops short of disclosing the side effects of creating an order, whether payment is completed synchronously, or what state the order is in before checkout completion.

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?

A single dense sentence leads with the action and constraint, then covers payment method and return values. Every clause earns its place and there is no redundant restatement of the input schema.

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

Completeness3/5

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

The description gives the two important outputs and the payment context, which is helpful. Still, for a side-effectful purchase tool with no annotations and no output schema, it omits the order lifecycle, what to do with checkout_url, and practical prerequisites such as sourcing a valid SKU or respecting the US-shipping constraint.

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

Parameters2/5

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

Schema description coverage is only 33%, and the description does not clarify item_sku or quantity or explain the shipping_address object structure. Worse, saying shipping details are 'collected on Stripe checkout' can confuse an agent into thinking shipping_address is not required, even though the schema lists it as a required input.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a concrete verb ('Buy') and a clear target resource ('item from the Northside Intelligence Smart Store'), plus an important scope constraint ('US shipping'). This makes the tool's purpose immediately distinguishable from sibling tools like ni_store_search and ni_order_status.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is implied by 'Buy an item', so an agent can infer this is the purchase tool. However, there are no explicit conditions, prerequisites, or alternatives mentioned, such as using ni_store_search to find an SKU first or ni_order_status to track the resulting order.

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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