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

There are no annotations, so the description carries the burden of behavioral disclosure. It reveals what the sample contains, that it is the simplest permitted UK accounts, and that amounts are in major units. It does not explicitly state that the call is side-effect-free, but the example/template framing and zero parameters strongly imply a pure data retrieval with no destructive or mutating behavior.

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 three concise sentences with no filler. The first sentence front-loads what the tool is, the second explains why/when to use it, and the third adds the unit convention. Every sentence earns its place.

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, no-output-schema example-data tool, the description is largely complete: it explains the content, the intended use, and the unit convention. The only minor gap is that it never explicitly states the return shape or type, but for this simple fixture tool an agent has enough context to call it 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 tool has zero parameters and the schema is empty with additionalProperties false, so there is nothing for the description to explain. Per the baseline for zero-parameter tools, a score of 4 is appropriate; the description also adds the useful detail that amounts are in major units.

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 identifies the tool as 'a real worked example' of UK accounts, listing concrete characteristics (nil turnover, director loan, near-empty bank account). It doesn't use an explicit verb like 'returns' or 'provides', but it is clearly a data resource rather than an action, and the 'template' phrasing makes the purpose unambiguous. It also distinguishes itself from sibling action tools such as check_accounts and categorise_transactions.

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 explicitly says to use it 'to demonstrate check_accounts or as a template for a first-year company', giving clear, concrete usage scenarios. It does not mention alternatives or exclusions, but for a zero-parameter sample-data tool the guidance is sufficient.

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