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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds substantial behavioral detail beyond that: row types, depth, column alignment, label vs value id alignment, omission and counting of all-zero rows, filter confirmation semantics, and the no_data flag. This gives an agent an unusually clear model of what the tool returns and how it behaves.

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 but every clause earns its place, covering purpose, output structure, edge cases, and behavioral nuances. It is front-loaded with the primary action and contains no filler or repetition of schema content.

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?

With no output schema, the description fully compensates by detailing the return object, row semantics, id alignment, hidden-zero handling, filter confirmation, and no_data behavior. Combined with the input schema and annotations, an agent has everything needed to call the tool and interpret its response 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?

Schema coverage is 100%, so the schema already documents the parameters. The description adds param-relevant meaning by explaining that the returned filters list only includes parameters QuickBooks actually applied, and that ignored parameters are absent. This helps an agent interpret parameter effects even though the description does not re-explain individual params.

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: 'Generate the QuickBooks account list report.' This clearly distinguishes it from sibling tools like get_account (single account) and search_accounts (search results), and the return shape confirms it is a report-producing tool, not a simple lookup.

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: call this when you need the QuickBooks account list report. However, it does not explicitly state when to prefer this over alternatives such as get_account or search_accounts, nor does it provide exclusion conditions. The usage context is implied rather than stated.

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