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evidence_entailment

Check if a claim is supported or contradicted by a source excerpt using heuristic, Ollama, or auto-fallback entailment verification.

Instructions

Strict entailment check for claim vs source excerpt. Supports heuristic, Ollama judge, or auto fallback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claimYes
modelNoOptional Ollama model name
backendNoauto | heuristic | ollama | local_nliauto
source_excerptYes
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It fails to disclose error handling, rate limits, or the behavior of different backends (e.g., auto fallback behavior, latency).

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 very brief with two focused sentences. It front-loads the core purpose and lists backends without unnecessary elaboration.

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

Completeness2/5

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

Given the tool has 4 parameters, no output schema, and no annotations, the description is too sparse. It omits return values, failure modes, and backend-specific details needed for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 50%, but the description adds no detail beyond what is in the schema for the two required parameters (claim, source_excerpt). It does not explain format or constraints.

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 performs a strict entailment check between claim and source excerpt, and mentions supported backends. However, it does not differentiate itself from sibling 'corroborate_claim', which may have overlapping functionality.

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 use for strict entailment checks but provides no explicit guidance on when to choose this over alternatives like corroborate_claim, nor any context about prerequisites or exclusions.

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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