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helena-bioinformatics

Noodle Biomedical Literature Discovery MCP

Official

Get publication details by work ID

get_work_details
Read-onlyIdempotent

Retrieve one complete public bibliographic record from the PubMed-derived corpus using a Noodle work identifier, enabling detailed literature discovery and professional review.

Instructions

Retrieve one complete public bibliographic record by Noodle work identifier. Results are for literature discovery and professional review, not diagnosis or treatment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
work_idYesCanonical Noodle Literature Corpus work identifier.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
publicationYes
usage_boundaryYes
contract_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.1

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds value by specifying the record is 'complete' and 'public', and by adding the non-diagnostic disclaimer—context beyond the structured fields.

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 sentences with no redundancy; the primary action and scope are front-loaded, followed by a brief application note. Every sentence earns its place.

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 an output schema present and annotations covering safety, the description is complete for the tool's simple purpose. The only gap is lack of sibling differentiation, but given low complexity and available structured data, the provided text is sufficient.

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 coverage is 100% (the lone work_id parameter has a clear description: 'Canonical Noodle Literature Corpus work identifier'). The tool description adds no new semantics for the parameter, just restates the identifier concept—appropriate given high coverage, but not additive.

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 a specific verb ('Retrieve') and resource ('one complete public bibliographic record') keyed by a Noodle work identifier. It does not explicitly differentiate from sibling tools like get_publication_details, but the single-record-by-ID focus is unambiguous.

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 includes a usage disclaimer ('for literature discovery and professional review, not diagnosis or treatment') which implies appropriate contexts, but there is no explicit guidance on when to choose this tool over siblings or when not to use it. The use case is only implied.

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