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AceDataCloud

AceDataCloud MCP Server

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acedatacloud_search_docs

Search AceDataCloud public documentation by keyword to retrieve relevant doc titles, snippets, and URLs.

Instructions

Full-text search the AceDataCloud documentation. Returns matching docs with alias, title, snippet and url. No token required.

This is content-relevance search over *public* docs only; it does not accept
structural filters. To filter by tag / type / privacy, use
``acedatacloud_list_docs`` (e.g. ``tag='application'``, ``private=False``).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoOptional language code, e.g. 'en', 'zh-cn', 'ja'.
limitNoMax results to return (server caps at 30).
queryYesSearch text, e.g. 'suno lyrics' or 'midjourney imagine'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Discloses 'No token required' and 'public docs only,' but no annotations exist so description carries full burden. Missing details on pagination or empty results, but adequate for a search 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?

Two concise sentences plus one for guidance. No wasted words, front-loaded with key info.

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

Completeness5/5

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

Given output schema exists and schema coverage is 100%, description fully explains search scope, return fields, and when to use alternative. No gaps.

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 has 100% coverage with descriptions for all 3 parameters. Description adds no extra parameter meaning; baseline 3 is appropriate.

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?

Description clearly states 'Full-text search the AceDataCloud documentation' with a specific verb and resource. It distinguishes from sibling acedatacloud_list_docs by noting it does not accept structural filters.

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

Usage Guidelines5/5

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

Explicitly tells when to use this tool: 'This is content-relevance search over *public* docs only; it does not accept structural filters.' Then directs to sibling tool for filtering with examples.

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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