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mundurragacl

Amazon Connect MCP Server

by mundurragacl

list_queues

List queues in an Amazon Connect instance by providing its ID. Use this to view available queues for routing and configuration.

Instructions

List queues in an Amazon Connect instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idYes
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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. 'List' implies a read-only operation, but the description does not explicitly state safety, permissions, pagination behavior, or any other side effects or limitations. It adds little beyond the tool's name.

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

Conciseness4/5

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

The description is a single, concise sentence with no unnecessary words. It is front-loaded with the action and resource. However, extreme brevity borders on under-specification, though for a simple list operation it is appropriately sized.

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 tool has an output schema, so return values are documented separately. The description is adequate for a basic list operation but lacks context about when to use it, any prerequisites, and behavioral details such as pagination. It is a minimum viable description but leaves clear gaps.

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 0%, and the description does not mention either parameter (instance_id, max_results) or their semantics. The parameter names are self-explanatory, but the description fails to compensate for the lack of schema descriptions, leaving the agent to infer intent from names and types alone.

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 ('List') and resource ('queues') within a specific scope ('in an Amazon Connect instance'). It is unambiguous and distinct from other list-type tools by naming the resource, though it does not explicitly differentiate from siblings like config_list_contact_flows.

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. It does not mention use cases, when not to use it, or any related tools that might be more appropriate for specific scenarios.

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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