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KuudoAI

Amazon Selling Central MCP

by KuudoAI

Messaging_createConfirmDeliveryDetails

Confirm delivery details by sending buyers a message to arrange a delivery or verify contact information.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Sends a message to a buyer to arrange a delivery or to confirm contact information for making a delivery.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the disclosure burden. It does reveal the core side effect ('sends a message') and adds a useful execution-context trait ('runs in your Kuudo deployment, not here'). However, it does not mention permissions, reversibility, rate limits, or downstream consequences, which would make the behavioral picture richer.

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

Conciseness3/5

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

The description is short, but the actual purpose is delayed until the third sentence. 'Catalog entry' is vague filler, and the deployment note comes before the main action. Front-loading the core behavior would make it more useful and less cluttered.

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?

For a zero-parameter tool with no output schema and no annotations, the description conveys the core operation and the execution environment. Still, it omits any expected input context, permission requirements, or result/acknowledgment information, leaving some uncertainty for an agent trying to invoke it correctly.

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

Parameters4/5

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

The schema declares zero properties and the context signals confirm 0 parameters, so the baseline is 4. The description adds no parameter-level detail, which is acceptable at this baseline; the only complication is additionalProperties: true, which is not addressed but does not lower the score given the zero-parameter expectation.

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 states a specific action ('sends a message to a buyer') and names the two related goals: arranging a delivery and confirming contact information for a delivery. This is clear enough to distinguish it from sibling Messaging_* tools focused on order details, service details, invoices, or warranties, though it does not explicitly name an alternative.

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

Usage Guidelines4/5

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

The description gives a clear when-to-use condition: when the agent needs to arrange a delivery or confirm delivery-related contact information. It does not provide exclusions or point to a specific alternative tool, but the intended context is much clearer than a generic mutation description.

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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