Skip to main content
Glama
avivsinai

langfuse-mcp

delete_dataset_item

Permanently deletes a dataset item by its ID. This action cannot be undone.

Instructions

Delete a dataset item by ID.

This is a permanent deletion and cannot be undone.

Args:
    ctx: Context object containing lifespan context with Langfuse client
    item_id: The ID of the dataset item to delete

Returns:
    A dictionary confirming the deletion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_idYesThe ID of the dataset item to delete

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

The description explicitly notes that the deletion is permanent and cannot be undone, which is important behavioral information. However, with no annotations provided, it carries the full burden but still lacks details on authorization, side effects, or impact on related data.

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 concise and front-loads the main action. The Args and Returns sections add some redundancy but are structured and easy to parse. Could be slightly more terse.

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?

Given the single parameter and the presence of an output schema, the description covers the basic functionality. However, it lacks contextual completeness regarding permissions, preconditions, or integration with sibling tools, warranting only a moderate score.

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% and the description repeats the parameter description from the schema without adding new semantic information. The Args section provides minimal added value beyond what the schema already contains.

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 action (Delete), the resource (dataset item), and the identifier method (by ID). It is specific and distinguishes from sibling tools like delete_annotation_queue_item.

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 on when to use this tool versus alternatives, such as other delete operations. There is no mention of prerequisites or context for appropriate use.

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/avivsinai/landfuse-mcp'

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