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TsvetanG2

cognigy-ai-mcp-management-server

get_endpoint

Read-onlyIdempotent

Retrieve detailed configuration of a Cognigy.AI endpoint, including channel settings, flow binding, and runtime configuration, to inspect endpoint behavior.

Instructions

Gets detailed configuration of a specific Cognigy.AI endpoint. Returns channel settings, flow/agent binding, and runtime configuration. Use this to inspect endpoint behavior.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointIdYesThe endpoint ID to retrieve
Behavior4/5

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

Annotations already indicate readOnlyHint, idempotentHint, destructiveHint=false. Description adds that it returns channel settings, flow/agent binding, and runtime configuration, providing useful behavioral context beyond 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, no waste, front-loaded with purpose and details. Efficient and clear.

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

Completeness5/5

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

Given the tool simplicity (1 param, no output schema, annotations provided), the description covers purpose, usage, and return values adequately. No gaps.

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 the parameter endpointId is documented in the schema. Description does not add additional semantics beyond the schema, so baseline 3 is appropriate.

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?

Description clearly states the tool gets detailed configuration of a specific Cognigy.AI endpoint, distinguishing it from list_endpoints which lists endpoints. Verb 'Gets' and resource 'endpoint configuration' are specific.

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?

Explicitly says 'Use this to inspect endpoint behavior', which is clear when to use. Does not explicitly mention when not to use or alternatives, but the sibling list_endpoints is implicitly different. Still clear enough.

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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