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TsvetanG2

cognigy-ai-mcp-management-server

list_endpoints

Read-onlyIdempotent

List all endpoints from a Cognigy.AI project to discover deployed channel connectors such as Webchat, REST, and Voice.

Instructions

Lists all endpoints in a Cognigy.AI project. Endpoints are channel connectors (Webchat, REST, Voice, etc.) that expose flows/agents to users. Use this to discover deployed channels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of endpoints to return (1-100, default 25)
projectIdYesThe project ID to list endpoints from
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint, and destructiveHint=false, indicating a safe read operation. The description adds minimal extra context (endpoints are channel connectors) but does not contradict 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 purpose, no redundancy. Every word earns its place.

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?

Given the simple list operation with good annotations and fully described schema, the description is complete enough. No output schema exists, but the return value is implied by the purpose.

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 description coverage is 100%: both limit and projectId have clear descriptions in the schema. The tool description does not add any additional parameter details beyond what the schema provides.

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 it lists endpoints in a Cognigy.AI project, with a specific verb and resource. It distinguishes from sibling tools like list_projects or list_flows by focusing on endpoints, which are channel connectors.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes 'Use this to discover deployed channels,' which provides a clear use case. However, it does not explicitly state when not to use it or mention alternatives like get_endpoint for a single endpoint.

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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