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Rockfish-Data

Rockfish MCP Server

Official

delete_dataset

Remove a dataset from Rockfish AI by ID to clean up or manage your dataset collection.

Instructions

Delete a dataset

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDataset ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

With no annotations provided, the description bears the full behavioral burden, yet it only implies a destructive operation. It does not state whether deletion is permanent or reversible, whether it cascades to dependent objects like model bindings or bookmarks, or what permissions are required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The sentence is short and front-loaded with no wasted words. It is not verbose, but its brevity reflects under-specification rather than disciplined conciseness for a destructive operation.

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, no-annotation tool with no output schema, the description omits everything an agent needs beyond the bare action: irreversibility, side effects on related resources, and error conditions. It is not complete enough to call this tool safely.

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 description coverage is 100% and the single 'id' parameter is documented as 'Dataset ID' in the schema, so the baseline is 3. The description adds no meaning beyond this, such as where to obtain the ID or acceptable formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states an unambiguous verb (Delete) and resource (dataset), so an agent knows the operation. However, it does nothing to distinguish this tool from its many delete siblings (delete_model, delete_database, delete_worker_set) and adds no scope or constraint detail beyond the tool name itself.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as update_dataset or soft-delete paths. The agent is left to infer usage entirely from the name.

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