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dpkdhingra91

AI Interview Agents MCP Server

list_roles

Read-only

Retrieve and display your active job roles and openings to select one for scheduling interviews or reviewing candidates.

Instructions

List the authenticated HR user's roles (job postings / openings).

    Use this whenever the user hasn't named a role and you need to ask
    "which role should I schedule against?" — surface 2-3 recent ones
    from the response by 'name' / 'position'. Also use for queries like
    "what roles do I have" or "what openings am I hiring for".

    Returns: {"data": [{roleId, name, position, experience, skills,
    evaluationFocus, interviewType, jobDescription, language, ...}]}.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds value by detailing the return format with sample fields (roleId, name, position, etc.) and noting that recent ones should be surfaced, providing 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?

The description is concise yet informative: first sentence defines purpose, then usage guidelines, then return format. It is front-loaded and every sentence earns its place.

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 zero parameters and annotations covering safety, the description covers purpose, usage, and return format. It provides enough context for the agent to use the tool correctly without gaps.

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

Parameters4/5

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

The input schema has zero parameters, so the description does not need to add parameter information. Baseline for 0 params is 4; the description correctly omits param details.

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 starts with 'List the authenticated HR user's roles' which is a specific verb and resource. It clearly distinguishes from sibling tools like list_meetings or list_screening_roles by specifying roles as job postings/openings.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance: 'Use this whenever the user hasn't named a role and you need to ask which role should I schedule against?' and gives example queries like 'what roles do I have'. This helps the agent select the tool correctly.

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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