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sacloud

sacloud-mcp

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by sacloud

read_object_storage_api_manual

Convert Sakura Cloud object storage API manual URLs to markdown format and extract key content for easy reference and implementation.

Instructions

指定したさくらのクラウドのオブジェクトストレージAPIマニュアル(https://manual.sakura.ad.jp/cloud-api/~)のurlを受け取り、markdownに変換し、主要の内容を取得します。 Returns: str: さくらのAPIクラウドのオブジェクトストレージのAPIマニュアルの内容

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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 describes the core behavior (converting a URL to markdown and extracting content) but lacks details on permissions, rate limits, error handling, or output format beyond a string. For a tool with no annotations, this leaves significant behavioral gaps.

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-loaded, stating the purpose in two sentences without unnecessary details. However, the second sentence about the return value is somewhat redundant, as it restates the purpose rather than adding new information, slightly reducing efficiency.

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?

Given no annotations, no output schema, and 0 parameters, the description is incomplete. It explains the basic function but lacks details on behavioral traits, error cases, or what the returned string contains. For a tool that processes external content, more context on limitations or output structure would be helpful.

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?

The input schema has 0 parameters with 100% coverage, so no parameters are documented. The description implies the tool takes a URL as input, but this isn't reflected in the schema. Since there are no parameters, the baseline is 4, as the description doesn't need to compensate for missing param info.

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

Purpose4/5

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

The description clearly states the tool's purpose: it takes a specific URL for Sakura Cloud's object storage API manual, converts it to markdown, and extracts main content. It specifies the resource (API manual) and the action (convert to markdown and extract content), though it doesn't explicitly differentiate from sibling tools like 'read_api_manual' or 'read_manual' beyond the URL specificity.

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?

The description provides no guidance on when to use this tool versus alternatives. It mentions the URL but doesn't explain when to choose this over other manual-reading tools like 'read_api_manual' or 'read_manual', or whether there are prerequisites or specific contexts for its use.

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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