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cuba_contradiccion

Scan an entity to detect semantic contradictions in observations using embedding cosine distance and negation heuristics.

Instructions

Detect semantic contradictions between observations of the same entity. Uses embedding cosine distance + negation heuristics. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesContradiction detection action
entity_nameNoEntity to scan (omit to scan top entities by observation count)
Behavior3/5

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

No annotations provided, so description bears full burden. It discloses read-only nature and method used, but lacks details on return format, error handling, or behavior when no contradictions are found. Partial transparency.

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?

Extremely concise: two sentences front-load the purpose and key behavioral trait (read-only). No wasted words.

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?

No output schema and description does not explain return values or response format. For a tool involving contradiction detection with embedded methods, the description is insufficient for an agent to fully anticipate results.

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 description coverage is 100% with adequate parameter descriptions. Tool description adds no extra parameter semantics beyond method context, so baseline score of 3 is appropriate.

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?

Description clearly states the verb 'detect' and resource 'semantic contradictions between observations'. It specifies the method (embedding cosine distance + negation heuristics) and explicitly notes it's read-only, distinguishing it from sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus siblings or when not to use it. The 'read-only' note implies safety but does not provide context for selection among alternative tools.

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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