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Placed MCP Server

Placed MCP Server

by Exidian-Tech
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

get_behavioral_questions

Retrieve behavioral interview questions tailored to your target job role and selected focus areas like leadership or conflict resolution.

Instructions

Get behavioral interview questions based on job role and focus areas.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "target_role": "<target_role>"
    },
    "name": "get_behavioral_questions"
  }
}

Input Schema

NameRequiredDescriptionDefault
target_roleYesTarget job role
focus_categoriesNoFocus areas (e.g., leadership, conflict resolution)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden for behavioral disclosure. It only states the read behavior, but fails to mention auth requirements, rate limits, pagination, or result format. The tool is likely read-only, but this is not explicitly reinforced.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no wasted words. It is efficiently front-loaded, but it could be slightly expanded with usage notes without losing conciseness.

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

Completeness2/5

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

Given the absence of an output schema and annotations, the description is insufficiently complete. It does not specify the output format (e.g., list of questions), how focus categories influence results, or provide differentiation from similar tools like 'get_interview_questions'.

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 clear parameter descriptions (e.g., 'Target job role'). The description adds no extra meaning beyond what the schema already provides. It restates 'based on job role and focus areas' but does not enrich parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: to 'get behavioral interview questions' filtered by job role and focus areas. It uses a specific verb and resource, and the context of driving unique questions distinguishes it from broader siblings like 'get_interview_questions'.

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

Usage Guidelines2/5

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

No usage guidelines are provided. The description does not specify when to use this tool over siblings (e.g., 'get_interview_questions'), nor does it mention prerequisites or alternative scenarios. The agent is left to infer usage from context.

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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