Skip to main content
Glama

delete_dataset

Permanently delete a dataset from the platform by providing its dataset ID. Remove outdated or unnecessary data to keep your training repositories organized.

Instructions

Delete a dataset from the platform.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_idYesDataset ID to delete
Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It only states 'delete' without indicating that the operation is destructive, irreversible, or whether it affects dependent resources. Important behavioral traits are missing.

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 front-loaded with the verb and resource. However, it could include a few more critical details without becoming verbose.

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?

Although the tool is simple with one parameter, the description fails to mention essential context like whether the deletion is permanent, any prerequisites (e.g., ownership), or side effects. This lack of completeness could lead to misuse.

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 has 100% coverage with a description for dataset_id. The tool description adds no additional meaning beyond what the schema already provides. Baseline 3 is appropriate as the schema carries the full burden.

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 (delete a dataset) and the resource (dataset from the platform). It effectively distinguishes from sibling tools like create_dataset (create) and show_dataset (read). However, it could be more specific by noting the deletion is permanent.

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 this tool versus alternatives. It does not mention prerequisites, irreversibility, or when deletion should be avoided. This lack of context makes it harder for an agent to decide appropriately.

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/cerebrixos-org/tuning-engines-cli'

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