Skip to main content
Glama

Delete Dataset

delete_dataset
Destructive

Delete a dataset from a project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetIdYes
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior2/5

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

The annotations already declare destructiveHint=true and readOnlyHint=false, so the description adds no behavioral depth beyond the fact that a dataset is removed. It does not disclose whether deletion is permanent, whether related data is cascaded/deleted, or what happens to dependent artifacts. Since annotations carry the destructiveness signal, a low but non-contradictory score applies.

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 that front-loads the action and object; there is no redundant content.

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?

For a destructive two-parameter tool with no output schema, the description is under-specified: it omits expected effects, failure conditions, and any post-delete behavior. The annotation indicates destruction, but the text alone would not tell an agent what will happen when the tool succeeds.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate, but it only restates the object-container relationship ('a dataset from a project') that parameter names already imply. It gives no guidance on required formats, constraints, or the meaning of the two IDs beyond their 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 names a specific action ('Delete'), a specific object ('dataset'), and the containing scope ('from a project'), which is enough to distinguish it from sibling delete tools for monitors, scenarios, scripts, and assets. It is not merely a restatement of the name because it adds project scoping.

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

Usage Guidelines3/5

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

The tool's intended use is clear from the phrasing, but the description gives no explicit guidance about when to choose it over alternatives or any preconditions/exclusions. Usage is implied rather than spelled out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.