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

With no annotations, the description carries full responsibility for behavioral disclosure. It clearly states it returns a snapshot and lists the types of data and action items, implying a read-only aggregation. It does not explicitly state non-mutation, but 'snapshot' and the nature of the contents reasonably imply a safe read operation. The mention of action_items (e.g., complete onboarding) also hints at conditional results, which is useful context.

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?

Two sentences with no wasted words. The first sentence front-loads the purpose and enumerates the dashboard items; the second gives clear usage guidance. Every phrase adds value, and the structure is easy to parse.

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 tool, the description is exceptionally complete. It covers what data is returned, provides example action items, and explains when to use it. No critical gaps are apparent for the intended decision-making process.

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 accepts zero parameters, so the schema requires no explanation. The baseline for 0 params is 4. The description appropriately focuses on the output rather than inputs, so no further parameter detail is needed.

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 uses a specific verb phrase 'One-call author/annotator snapshot' and clearly enumerates the contents (book performance, earnings breakdown, withdrawable balance vs payout minimum, payout history, top books, action_items). It distinguishes itself from siblings by explicitly naming my_books, check_earnings, and payout_balance as alternatives, making its scope obvious.

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?

Provides explicit usage guidance: 'Prefer this over calling my_books / check_earnings / payout_balance separately.' This tells the agent exactly when to choose this tool over the alternatives, which is strong contextual direction.

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