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AceDataCloud

AceDataCloud MCP Server

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acedatacloud_list_services

Discover all services on AceDataCloud including AI products and APIs. Use filters by type, tag, or privacy to find the right service.

Instructions

List the services available on the AceDataCloud platform.

A *service* is a product (e.g. ``suno``, ``midjourney``) you can subscribe to.
``search`` finds one by alias/title (client-side); ``service_type``, ``tag`` and
``private`` are applied server-side. Returns count + items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoFilter by tag, e.g. 'application'.
limitNoMax services to return when not searching.
searchNoOptional case-insensitive substring to match against service alias or title.
privateNoFilter by privacy: False = public only, True = private only, unset = all.
service_typeNoFilter by type: Api/Proxy/Integration/Dataset/Introduction/Agent.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that 'search' is applied client-side while 'service_type', 'tag', and 'private' are server-side, adding behavioral insight beyond the input schema. It also mentions the return format (count + items). This is transparent for a read-only listing tool.

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 consists of three concise sentences. The first sentence states the purpose immediately, the second defines the key term, and the third summarizes filtering and output. No wasted words, and the structure is well-organized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the 5 optional parameters and the presence of an output schema, the description is mostly complete. It explains the core functionality, defines terms, and covers filtering behavior. A minor gap is the lack of explicit pagination mention, but the 'limit' parameter and output schema compensate.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds value by distinguishing client-side ('search') from server-side filtering, which is not evident from the schema alone. This extra context helps the agent understand how parameters interact.

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 uses the specific verb 'List' and resource 'services', clearly stating the tool's purpose. It defines what a 'service' is with concrete examples, and distinguishes the tool from sibling list tools by specifying the resource type. The description also explains the filtering behavior, further clarifying its function.

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 description does not explicitly state when to use this tool versus alternative list tools (e.g., acedatacloud_list_apis). However, the resource name 'services' implies its domain, and the filtering options provide context for usage. More explicit guidance on alternatives would improve clarity.

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

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