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

With no annotations, the description discloses deterministic behavior, read-only access, returns all conflicts rather than just the first, and specifies the exact verdict values (consistent/contradicts, never true/false). This provides strong behavioral context beyond 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense and efficient, using three sentences to convey purpose, conflict definition, output behavior, and access mode. Every sentence contributes information without redundancy.

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

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

Given the simple 3-parameter tool with an output schema, the description covers purpose, behavior, return semantics, and access constraints. It is sufficiently complete for an agent to select and invoke the tool correctly.

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

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

The input schema only defines three string parameters with no descriptions, but the description explains how subject and predicate together define conflict when the object differs, and mentions normalization. This adds relational semantics beyond simple string names, though individual parameter definitions remain implicit.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as a raw SPO gate that checks triples for conflicts, defining conflict as same normalized subject+predicate with a different object. It distinguishes itself from siblings by emphasizing determinism (no LLM) and testability.

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

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

The description implies usage for deterministic, cheap conflict checks by contrasting with LLM-based alternatives and highlighting open/free PUBLIC_DEMO-mode with no rate limit. However, it does not explicitly name sibling alternatives or state when not to use, leaving a slight gap.

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