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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds value by disclosing the breadth of content (formulas, dataset sources and limitations, error semantics, presentation guidance), which tells the agent this is a comprehensive static reference. It stops short of describing the return format or length of the documentation.

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 definition is a single front-loaded sentence with the core purpose first, followed by an enumeration of covered topics. The list is long but each item signals real coverage an agent might need to know about; it could be tightened slightly without losing meaning.

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 zero-parameter reference tool with no output schema, the description thoroughly enumerates what the documentation contains, including limitations and field meanings. It is nearly complete; the main omission is any hint about the documentation's format or how to consume it.

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 tool takes zero parameters, which is the baseline-4 case. The description correctly implies no inputs are needed, and there are no parameter semantics to compensate for.

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 ('Explains the whole method') and then enumerates the exact content covered: scope definitions, the five calculation methods with formulas, routing, adjustment factors, datasets, data quality, result fields, errors, and presentation. This clearly positions it as the reference/documentation tool rather than a calculator, though it never names a sibling or explicitly states it is not a calculation tool.

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?

Usage is only implied: an agent can infer it should call this when it needs to understand how emissions are computed or what a result field means. There is no explicit when-to-use guidance such as 'call before calculate_shipment' or 'use when the user asks how the methodology works,' and no exclusions are stated.

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