get_scheduled_changes

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

With no annotations, the description carries the full behavioral burden, and it does disclose the nature of the returned data (upcoming/planned items, not historical). It stops short of stating whether results are global or account-scoped, whether they are paginated, or any auth/rate-limit traits, though an output schema exists to cover return shape.

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 core sentence is front-loaded and the return summary immediately follows, so an agent gets the essentials in the first two lines. The three example prompts are slightly redundant padding but are short and reinforce the scope rather than obscure it.

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 read tool with an output schema that already documents the return structure, the description supplies enough: what it returns, its upcoming-only nature, and example triggers. The one real gap is the unstated relationship to get_org_scheduled_changes, leaving scope ambiguity among near-identical siblings.

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, so per the rubric the baseline is 4. There is no parameter surface for the description to clarify or obscure.

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?

States a specific verb and resource: 'Get all scheduled changes/maintenance events across AWS services,' and narrows the payload to 'upcoming maintenance windows, planned updates, and infrastructure improvements.' That scope statement implicitly separates it from get_completed_events, but it never addresses the org-scoped sibling get_org_scheduled_changes, so the agent must infer the boundary.

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 example prompts ('What maintenance is planned?', 'When is the next AWS maintenance?') imply when an agent would reach for this tool, which is genuine implied-usage guidance. However, there is no explicit when-not, no prerequisite, and no named alternative such as get_org_scheduled_changes or get_completed_events.

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