Skip to main content
Glama
TsvetanG2

cognigy-ai-mcp-management-server

get_conversation

Read-onlyIdempotent

Retrieve complete conversation details for a Cognigy.AI session. Returns all inputs, outputs, timestamps, and metadata to analyze a full interaction thread.

Instructions

Gets conversation details for a specific Cognigy.AI session. Returns all inputs/outputs, timestamps, and metadata for the session. Use this to analyze a complete conversation thread.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoOptional project ID to scope the query
sessionIdYesThe session ID to get conversation for
Behavior3/5

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

Annotations already indicate read-only, non-destructive. Description adds what is returned, but no details on permissions, rate limits, or side effects. Consistent with annotations.

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?

Two sentences, front-loaded with action and target, no redundant information.

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?

Adequate for a simple tool with strong annotations and schema. Lacks mention of output format or potential limits, but minor given the tool's scope.

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%, so description adds minimal value. It implies sessionId is key but does not enhance parameter understanding beyond the schema.

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?

Clearly states it gets conversation details for a specific session, lists returned data (inputs/outputs, timestamps, metadata), and provides a use case. Distinguishes from sibling tools like get_conversations and get_transcript.

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?

Implies usage ('analyze a complete conversation thread') but does not explicitly state when not to use or provide alternatives. No exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TsvetanG2/cognigy-ai-mcp-management-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server