Skip to main content
Glama
iwaokimura

mcp-cinii

by iwaokimura

get_cinii_item

Fetch JSON-LD metadata for a single CiNii Research item by its CRID. Supports Japanese and English language output.

Instructions

Retrieve metadata for a single CiNii Research item by its ID.

Args: item_id: The CiNii Research CRID, e.g. "1971993809790115224". This is the numeric part that appears after "https://cir.nii.ac.jp/crid/" in the item URL. lang: Response language, "ja" (Japanese) or "en" (English). Default "ja".

Returns: JSON-LD metadata for the item as a formatted JSON string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoja
item_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description states the tool retrieves metadata and returns JSON-LD as a formatted string. Although no annotations are provided, the description sufficiently conveys that this is a read-only operation. It could mention error handling or rate limits but is adequate for a simple retrieval 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 is concise and well-structured, using 'Args:' and 'Returns:' sections to separate parameter details and output information. Every sentence adds value without redundancy.

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 the tool's simplicity, an output schema exists (mentioned), and the description covers required parameters, optional parameters with defaults, and the return format. It is complete for an agent to correctly invoke the tool.

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

Parameters5/5

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

With 0% schema coverage, the description fully compensates by explaining the item_id parameter (CRID, example, URL context) and the lang parameter (default, values). This adds substantial semantic value beyond the bare property definitions.

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 clearly states 'Retrieve metadata for a single CiNii Research item by its ID', specifying the action, resource, and scope. It implicitly differentiates from the sibling tool 'search_cinii', which presumably searches for multiple items, making the purpose unambiguous.

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

Usage Guidelines4/5

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

The description indicates the tool is for retrieving a single item by ID, which implies usage when the ID is known. However, it does not explicitly contrast with the sibling 'search_cinii' or provide when-not-to-use guidance, so it falls short of a perfect score.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/iwaokimura/mcp-cinii'

If you have feedback or need assistance with the MCP directory API, please join our Discord server