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Casius999

decroche-mcp

by Casius999

interview_question_bank

Retrieve interview questions tailored to a specific role family and question type, helping candidates prepare for behavioral, technical, or case interviews.

Instructions

Return interview questions for a role family and kind.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
role_familyYesOne of ``software``, ``data``, ``product``, ``sales``, ``generic`` (case-insensitive).
kindNo``"behavioral"``, ``"technical"``, or ``"case"``. Defaults to ``"behavioral"``.behavioral

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description only indicates a simple read operation. It does not disclose any behavioral traits like idempotency, rate limits, or data freshness, but there is no contradiction.

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?

A single sentence of 10 words conveys the core purpose efficiently. No superfluous information, front-loaded and easy to parse.

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

Completeness3/5

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

The description is minimal but sufficient for a simple retrieval tool with an output schema. Lacks usage context and behavioral details that could improve completeness.

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%, so the schema already describes both parameters. The description adds no additional meaning beyond restating the parameter names.

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 the tool returns interview questions based on role family and kind. It uses a specific verb and resource, distinguishing it from siblings like interview_company_brief or interview_debrief.

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 guidance on when to use this tool versus alternatives such as interview_mock_evaluate or interview_story_suggest. The description does not specify context or exclusions.

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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