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KuudoAI

Amazon Selling Central MCP

by KuudoAI

Services_assignAppointmentResources

Assigns new resources or overwrites existing ones for a service job appointment, ensuring correct personnel and equipment are allocated.

Instructions

Catalog entry. Runs in your Kuudo deployment, not here. Assigns new resource(s) or overwrite/update the existing one(s) to a service job appointment.

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

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral disclosure burden. It does disclose that this is a mutating operation ('Assigns'/'overwrite/update') and that it runs in the Kuudo deployment, but it omits prerequisites, side effects, reversibility, permissions, and response behavior. This is insufficient for a mutation tool with no annotation coverage.

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 and mostly to the point, but the first two sentences ('Catalog entry.' and 'Runs in your Kuudo deployment, not here.') overlap in meaning and delay the core action. The actual purpose is only stated in the final sentence, so it is not well front-loaded.

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?

The tool mutates appointment resource assignments, yet the description does not identify required identifiers (e.g., appointment ID, resource list), how overwrite behavior is selected, or what the caller should expect. With no output schema and no annotations, the agent is left without enough information to correctly invoke this tool.

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 input schema has zero declared properties and 100% coverage baseline, so the description is not required to document parameters. It still names the semantic entities involved (resources, service job appointment), which provides moderate context. Baseline 4 applies for zero-parameter tools.

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 identifies the operation: 'Assigns new resource(s) or overwrite/update the existing one(s) to a service job appointment.' This is a specific verb plus resource/object and helps distinguish the tool from appointment-slot or fulfillment-data siblings. The opening 'Catalog entry' and 'Runs in your Kuudo deployment, not here' slightly muddy the practical purpose.

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 guidance is given on when to choose this tool over siblings such as Services_addAppointmentForServiceJobByServiceJobId or Services_setAppointmentFulfillmentData. The note about running in the Kuudo deployment is context, not a usage condition or alternative-selection rule.

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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