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onto_reason

Run ontology inference to materialize implied relationships using RDFS, OWL profiles, or full OWL2-DL reasoning.

Instructions

Run inference over the loaded ontology. Profiles: 'rdfs' (subclass, domain/range), 'owl-rl' (+ transitive/symmetric/inverse, sameAs, equivalentClass), 'owl-rl-ext' (+ someValuesFrom, allValuesFrom, hasValue, intersectionOf, unionOf), 'owl-dl' (Full OWL2-DL SHOIQ tableaux: satisfiability, classification, qualified number restrictions with node merging, inverse/symmetric roles, functional properties, parallel agent-based classification, explanation traces, ABox reasoning). Materializes inferred triples.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
materializeNoIf true (default), add inferred triples to the store. If false, dry-run only.
profileNoReasoning profile: rdfs (default), owl-rl
Behavior4/5

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

No annotations provided, so the description carries full burden. It describes that inferred triples are materialized by default and dry-run option, but does not detail performance implications or side effects like locking.

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 informative and front-loaded with purpose, but slightly verbose in listing profiles; every sentence adds value, though could be more concise.

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 no output schema, the description explains the primary outcome (materialized triples). It covers profiles and dry-run, but could mention prerequisites like an already loaded ontology.

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?

Input schema covers both parameters (100% coverage), and description adds extra meaning by explaining the default for materialize and detailing the capabilities of each profile beyond the schema's minimal description.

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 'Run inference over the loaded ontology' and enumerates specific reasoning profiles, distinguishing it from sibling tools like onto_query or onto_validate.

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?

Provides clear context for each profile (rdfs, owl-rl, etc.) and the materialize option, but does not explicitly state when not to use this tool or mention alternatives among siblings.

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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