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TsvetanG2

cognigy-ai-mcp-management-server

get_extension

Read-onlyIdempotent

Retrieve detailed information about a Cognigy.AI extension, including package details, available nodes, connection schemas, and settings. Provide the extension ID to fetch the data.

Instructions

Gets detailed information about a specific Cognigy.AI Extension. Returns package info, available nodes, connections schemas, and settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
extensionIdYesThe extension ID to retrieve
Behavior3/5

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

Annotations already declare read-only and idempotent behavior. The description adds useful context on return structure, but no additional behavioral traits (e.g., side effects) beyond what annotations imply.

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?

Single sentence is concise and front-loaded, delivering key purpose and return types without redundancy.

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

Completeness4/5

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

No output schema exists, so description compensates by listing return data types. It lacks mention of error cases or pagination, but for a simple retrieval tool, coverage is sufficient.

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

Parameters3/5

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

Schema coverage is 100% and description does not add extra meaning beyond the schema's parameter description ('The extension ID to retrieve'). Baseline 3 applies.

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 clearly states the tool retrieves detailed information for a specific extension, listing return types (package info, nodes, connections, settings). This distinguishes it from sibling tools like list_extensions.

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?

No explicit when-to-use or when-not-to-use guidance is provided, but the name and description imply use when detailed info on a single extension is needed, contrasting with list_extensions.

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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