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iwaokimura

zbmath-mcp

by iwaokimura

get_document

Retrieve complete metadata for a zbMath publication using its numeric document ID. Get title, authors, abstract, MSC classification, and more.

Instructions

Retrieve full metadata for a single zbMath document by its numeric ID.

Args: zbmath_id: The numeric zbMath document identifier (e.g. 7192477 for Zbl 7192477).

Returns: JSON string with complete document metadata including title, authors, abstract, MSC classification, journal, DOI, review, and links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zbmath_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 transparently describes the return format as a JSON string with specific fields, but does not disclose error handling, rate limits, or authentication needs. It is adequate but not comprehensive.

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, front-loaded with purpose, and structured with Args and Returns sections. Every sentence adds value with no redundancies.

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?

With a single parameter, presence of an output schema (though not shown), and clear description of what is returned, the description is largely complete. Minor gap: no differentiation from sibling tools, but the simplicity of the tool mitigates this.

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% description coverage, but the description explains the zbmath_id parameter in detail, providing example and clarifying that it is a numeric identifier. This adds significant meaning beyond the schema definition.

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 retrieves full metadata for a single zbMath document by numeric ID, using the verb 'Retrieve' and specifying the resource. It does not explicitly differentiate from siblings like get_author or search_documents, but the purpose is clear and specific.

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 implies usage when a numeric ID is available and metadata is desired. It does not provide when-not or alternatives explicitly, which would be helpful given sibling tools exist, but the context is clear enough.

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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