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bemnetbeshah

Interview Prep MCP Server

by bemnetbeshah

create_study

Create a new study area to track interview prep, coursework, or spaced repetition progress. Provide a human-readable name to start organizing your study sessions.

Instructions

Add a new study area.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesHuman-readable study name.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations indicate a non-read-only, non-idempotent, non-destructive operation, and the description confirms the creation effect with 'Add a new study area.' However, it adds little beyond this: no details about duplicate-name behavior, permissions, or return value are provided.

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 short sentence with no filler or redundancy. The core action is front-loaded and appropriately sized for a simple one-parameter tool.

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?

For a one-parameter create operation, the description is minimally sufficient, but it leaves gaps around the study hierarchy and behavior on success. Since siblings include create_topic and create_subtopic, specifying that a study is the parent-level entity would 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?

The input schema already documents the single required 'name' parameter with the description 'Human-readable study name.' The tool description adds no additional meaning beyond what the schema provides, so the baseline score of 3 is appropriate.

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 uses a specific verb ('Add') and resource ('study area'), matching the tool name. It clearly refers to creating a study-level entity, but it does not explicitly distinguish itself from the sibling create_topic and create_subtopic tools.

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 is provided about when to use create_study versus create_topic or create_subtopic. The description simply states the action and gives no exclusions, prerequisites, or routing 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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