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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, covering the safety profile. The description adds no further behavioral context such as rate limits, authentication, or side effects, so it provides no value beyond the annotations.

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 a single sentence and front-loaded with the main purpose, but the nested parentheses and run-on structure make it difficult to parse. It is concise but not well-structured for quick comprehension.

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 domain-specific tool with no output schema, the description partially explains the return values (three dates) but leaves the output format unclear and does not clarify the input parameter. It is minimally adequate given the complexity and missing structured documentation.

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 schema has 0% description coverage for the single parameter price_usd. The description mentions 'a Bitcoin price' but does not specify units (USD), format, or constraints, so it fails to compensate for the schema gap. The schema title 'Price Usd' offers the only clue.

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 states a specific calculation: given a Bitcoin price, it returns the date when the power-law trend reaches that price, plus two band-based dates. The verb 'reaches' and resource 'power-law trend' are clear, though the phrasing is dense and parenthetical. It is distinguishable from siblings like get_trend_on_date, which takes a date rather than a price.

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?

No guidance is given on when to use this tool versus alternatives. The description only explains the computation, not the context or conditions that select this tool over explain_power_law_model or get_power_law_status.

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