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

With no annotations provided, the description carries full behavioral disclosure. It reveals cost ($0.02), latency (~20s), the lack of web research, the exact outcome categories (refuted/supported/inconclusive), calibrated confidence, and the no-auth, quote-only behavior when no payment is supplied.

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 compact—three sentences—and every clause delivers distinct value: purpose, limitations, pricing, latency, use cases, return outcomes, escalation path, and payment-quote behavior. There is no filler or 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?

For a tool with no annotations and no output schema, the description covers all critical aspects: what it does, when to use it, what it returns, how it handles edge cases (payment omitted), and how it relates to a sibling tool. No significant operational gaps remain.

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 already has 100% coverage with clear descriptions for all three parameters. The description adds useful context about the payment parameter's quote behavior, but it does not significantly deepen the semantics of the claim or context parameters beyond what the schema already states.

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 opens with a specific verb and resource: 'Independent reasoning-only check of a claim.' It clearly distinguishes from sibling tools by explicitly naming second_opinion_verify for current-world research, while this tool handles logic, internal consistency, and stable knowledge.

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?

It explicitly tells when to use the tool: 'Use for logic, internal consistency, and stable established knowledge (definitions, architectures, history, maths).' It also names the alternative pathway by saying it 'escalates to second_opinion_verify when the claim needs current-world research.'

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