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contradictions

Read-onlyIdempotent

Surface pairs of stored sections that cover the same topic, enabling side-by-side review before trusting either. Use this to spot potential conflicts, knowing similar pairs are candidates, not confirmed contradictions.

Instructions

Report pairs of stored sections covering the same ground, to read together before trusting either. Similarity finds pairs; it cannot judge agreement. Without an entailment model every pair reads "related", and no "contradicts" means nothing was asked, not that nothing conflicts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum pairs to report (default 20)
Behavior5/5

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

The description discloses critical behavioral caveats beyond the annotations: this tool finds related pairs, cannot judge agreement, and an absent 'contradicts' result does not mean no conflicts exist. This prevents a dangerous ontological misinterpretation by the agent.

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 three sentences with no wasted text: the main operation leads, followed by crucial caveats that are each valuable for correct invocation and interpretation. It is front-loaded and appropriately compact for a one-parameter read-only tool.

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

Completeness5/5

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

For a simple read-only tool with one optional parameter and a clear endpoint purpose, the description is complete. It explains what the tool returns conceptually, how to interpret an empty result, and what the underlying mechanism can and cannot establish.

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 sole parameter, 'limit', is already fully described in the schema with a default value, so the description adds no new parameter-level meaning. Baseline 3 is appropriate because 100% schema coverage means the schema carries the semantic weight.

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 verb and resource: it reports pairs of stored sections that cover the same ground. It goes beyond the name and clarifies that the tool surfaces similarity, not contradiction, which is essential for distinguishing it from what the name might imply.

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?

The description gives concrete usage context: use these pairs when you are about to trust stored sections and need to read corroborating or overlapping material first. It does not explicitly name alternatives, but the phrasing 'to read together before trusting either' implies the decision point for using the tool.

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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