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mundurragacl

Amazon Connect MCP Server

by mundurragacl

ai_list_knowledge_bases

Find which knowledge bases an Amazon Connect assistant can access by providing its assistant ID.

Instructions

List knowledge bases for an assistant.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assistant_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden for behavioral disclosure. It only states 'List knowledge bases' without mentioning read-only nature, return content, pagination, error behavior, or authorization requirements. Minimal behavioral context is provided.

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, concise sentence that immediately communicates the core action. No filler or redundant information exists.

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?

Although the tool is simple (one parameter), the description lacks essential context such as usage guidance, behavioral characteristics, and any mention of prerequisites or limitations. With no annotations and no schema descriptions, the description is too sparse to fully equip an agent.

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?

The schema has one parameter 'assistant_id' with no description (0% coverage). The description adds little beyond the parameter name: 'for an assistant' only echoes the property name without explaining where to find the ID, format, or meaning. The added semantic value is negligible.

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 uses a specific verb 'list' with a specific resource 'knowledge bases' and context 'for an assistant', making the tool's purpose clear and distinguishing it from sibling tools like ai_list_assistants or ai_list_quick_responses.

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 provided on when to use this tool versus alternatives, when not to use it, or any prerequisites. The description only states what the tool does, not how to decide to invoke it.

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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