Skip to main content
Glama
kula-ai

@kula-ai/mcp-server

Official
by kula-ai

get_interview

Retrieve complete interview details including interviewers, candidate, conference URL, and scorecard references in one request.

Instructions

Get full details for a single interview, including interviewers, candidate, conference URL, scorecard refs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesInterview ID
Behavior3/5

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

No annotations are provided, so the description carries the burden. It states the operation is a retrieval but does not disclose behavioral traits like read-only guarantee, auth requirements, or rate limits. The listed return fields add some transparency.

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 (14 words) that efficiently conveys the tool's purpose and key return fields, with no wasted words.

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?

For a simple read tool with one parameter and no output schema, the description adequately covers what the tool does and what it returns. It could mention error conditions or availability, but is mostly complete.

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% with one parameter 'id' described as 'Interview ID'. The description does not add extra meaning beyond the schema for the parameter, so baseline score of 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?

The description uses a specific verb 'Get' and resource 'interview', listing key fields (interviewers, candidate, conference URL, scorecard refs). It clearly distinguishes from sibling tools like list_interviews and other get tools.

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?

The description implies use when full details of a single interview are needed, but does not explicitly compare with alternatives like list_interviews or get_interview_plan, nor state when not to use it.

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/kula-ai/kula-mcp-server'

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