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AceDataCloud

AceDataCloud MCP Server

Official
by AceDataCloud

acedatacloud_get_datasets_id

Retrieve detailed information about a specific dataset using its ID. Supports pagination with limit and offset parameters.

Instructions

Get datasets id. Backend account permissions and ownership checks apply. Required permissions: public

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
limitNo
offsetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.5

TDQS

C2.3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does add real behavioral context by disclosing that backend account permission and ownership checks apply and that 'public' permission is required, which is valuable. However, it says nothing about pagination behavior, what happens on missing/unauthorized ids, or the shape of the result.

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 description is short and front-loaded, with no filler sentences, but the phrasing "Get datasets id" is awkward and redundant with the name, and the permission sentence is the only substantive 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?

An output schema exists, so return values need not be explained, but the description leaves two documented pagination parameters unexplained and gives no usage context relative to list_datasets. For a resource-fetch tool with zero annotation coverage and 0% param coverage, it is under-specified.

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 description coverage is 0%, so the description must compensate for all three parameters. It only implicitly references the required 'id' and gives no meaning to 'limit' or 'offset', whose schema descriptions are placeholder tokens. The description adds no semantic value about any parameter.

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

Purpose2/5

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

"Get datasets id" essentially restates the tool name and is ambiguous: it is unclear whether it fetches a dataset by id or fetches the id field of a dataset. It never states it retrieves a single dataset resource, nor does it differentiate itself from the sibling list_datasets.

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 or when-not-to-use guidance, and no mention of list_datasets as the alternative for browsing rather than fetching one dataset. The only routing hint is the required 'id' parameter.

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