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create_research_paper_and_claims

Creates a research paper entity and its extracted claims in the Geo knowledge graph using canonical schemas, ensuring claims are multi-typed and visible in standard Claim views.

Instructions

Create a Research Paper entity and multiple Research Claim entities using the canonical Geo research schema. Claim entities are always multi-typed with the canonical GeoBrowser Claim type so they show up in standard Claim views.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paperYesPaper metadata
claimsYesClaims extracted from the paper
paperNameNoOptional override for the paper entity name (defaults to "Paper: <title> (arXiv:<id>)")
claimNamePrefixNoPrefix for claim entity names (default "Claim: ")
paperDescriptionNoOptional override for paper description
canonicalClaimTypeIdNoOverride canonical Claim type ID (default env GEO_CANONICAL_CLAIM_TYPE_ID or built-in)
createExtractedFromRelationsNoIf true, creates Extracted From relations from each claim to the paper (default true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.8.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations only mark readOnlyHint=false, so the description carries most of the behavioral burden and it adds real value: it creates two kinds of entities and guarantees claims are multi-typed with the canonical GeoBrowser Claim type, with the consequence of standard Claim view visibility. It does not describe return values or whether Extracted From relations are created by default, though that default lives in the schema.

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 the core create behavior front-loaded and every clause earning its place. There is no wasted wording, restatement of the name, or redundant schema information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a high-complexity tool with nested objects, up to 200 claims, and no output schema, yet the description is quite short. The schema carries field and default details well, but the description does not state success behavior or return value, nor the default Extracted From relation side effect, leaving part of the operational picture implicit.

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?

The description does not discuss individual parameters, but schema description coverage is 100%, so the baseline applies. The only added semantic is the rationale for the canonical Claim type behavior, which is helpful but not necessary to fill a schema gap.

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?

States the action ('Create') and the exact resource pair ('Research Paper entity' + 'multiple Research Claim entities'), and anchors it to the 'canonical Geo research schema'. The second sentence adds a distinguishing invariant—claims are always multi-typed with the GeoBrowser Claim type—so it is clearly not the generic create_entity or an ontology-specific sibling.

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?

Describes what the operation does but never explicitly says when to prefer it over alternatives like create_entity, create_relation, or create_research_ontology_paper_and_claims. The only implicit usage signal is the claim that claims will appear in standard Claim views, which helps but does not give explicit routing or exclusions.

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