Skip to main content
Glama

Delete a study set

delete_study_set
DestructiveIdempotent

Delete a study set from the learner's app, retaining backend history. Request user confirmation before removal.

Instructions

Remove a set from the learner's app. Study history is kept on the backend, but the set disappears from their device. Ask before calling this.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
setIdYesSet id returned by create_study_set or list_study_sets

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
setIdYes
deletedYes
Behavior4/5

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

Annotations already indicate destructive and non-read-only. The description adds context by specifying that study history persists on the backend while the device copy is removed, and instructs to seek permission. This goes beyond the annotation flags, giving the agent a precise understanding of side effects.

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?

Three short sentences, each adding distinct value: purpose, scope nuance, and usage directive. No filler or redundancy.

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?

For a simple single-parameter destructive operation with an output schema available, the description covers purpose, scope, and a user-consent requirement. Nothing critical is missing.

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 schema fully documents the sole parameter (setId) with a source reference, and the description adds no additional parameter semantics. With 100% schema coverage, the baseline 3 applies.

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 action (remove) and resource (a set from the learner's app), with further scope clarification (backend history kept, device set removed). It does not explicitly name sibling tools, but the verb distinguishes it from create/update/list, making its purpose unambiguous.

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

Usage Guidelines4/5

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

Provides an explicit directive 'Ask before calling this' and clear context of what removal entails. It lacks explicit exclusions or alternatives, but the usage context is obvious for a deletion task and the consent instruction is a strong behavioral guideline.

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/JohnBilousov/vocabit-mcp'

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