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create_research_ontology_paper_and_claims

Create Paper and atomic Claim entities in the Geo knowledge graph using the Research ontology, linking authors, topics, and arguments to make research findings structured and queryable.

Instructions

Create a Paper entity and Claim entities using the GeoBrowser "Research ontology" (Paper/Claim/Person/Topic/Project). This path is designed for Knowledgebook/GeoBrowser UIs that expect claims to be typed as the canonical Claim type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paperYesPaper metadata (Paper title stored as entity.name)
claimsYesAtomic claims to publish (Claim text stored as entity.name)
createTopicsNoIf true, creates Topic entities for any referenced topics (default true)
paperDescriptionNoOptional override for the paper description
linkClaimsToPaperNoIf true, links claim -> paper via Claim.Sources (default true)
linkPaperToTopicsNoIf true, links paper -> topics via Paper.Related topics (default true)
linkClaimsToTopicsNoIf true, links claim -> topics via Claim.Related topics (default true)
claimDescriptionPrefixNoOptional prefix to include in each claim description
defaultPublishedInNameNoFallback Project name for the publisher if paper.publishedIn is omitted (default: "arXiv")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.8.0

TDQS

A4.3/5.0
Behavior4/5

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

With only readOnlyHint=false in annotations, the description carries the burden and does well: it discloses creation of Paper/Claim/Person/Topic/Project entities, explains that claim text is stored both as entity.name and in description, and references configurable linking behavior through parameters. It doesn't cover return values or failure modes, but provides solid transparency for a create tool.

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 two sentences, front-loaded with the core action and followed by the UI-specific purpose. It is concise and well-ordered, though it could be even tighter or include a quick example.

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?

Given 9 parameters, nested objects, and no output schema, the description plus schema covers the tool's purpose, intended context, and parameter mappings well. A minor gap is that no return value is described, which is notable given the absence of an output schema, but the invocation details are complete.

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?

Schema coverage is 100% with rich parameter descriptions, so the baseline is 3. The description adds semantic value by clarifying the ontology types (Paper/Claim/Person/Topic/Project) and the canonical Claim typing, which helps agents understand how the paper and claims parameters map to entities.

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 states a specific action ('Create a Paper entity and Claim entities') on a defined resource (GeoBrowser Research ontology), and distinguishes itself from the sibling create_research_paper_and_claims by noting this path is for Knowledgebook/GeoBrowser UIs expecting the canonical Claim type.

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?

It explicitly gives the intended usage context ('designed for Knowledgebook/GeoBrowser UIs that expect claims to be typed as the canonical Claim type'), which tells an agent when to select this tool. It does not name the alternative sibling directly, but the contrast with create_research_paper_and_claims is implied.

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