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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does state the core behavior ('says hello'), implying a benign, non-destructive action. However, it does not mention whether the tool returns a greeting string, logs a message, or has any side effects — such details would be valuable since no output schema exists.

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 a single, front-loaded sentence with zero wasted words. It directly states the purpose, which is appropriate for a tool of this trivial complexity.

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 one-parameter tool with no output schema and no siblings, the description is mostly adequate but leaves one gap: it does not specify the return value or exact output format. An agent could infer the tool greets the user, but it cannot know whether the tool returns a string, prints to stdout, or just confirms completion. This minor omission prevents a higher score.

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 description coverage is 100%, so the schema already documents the `name` parameter clearly. The description adds no additional meaning about the parameter, which matches the baseline of 3 when structured data handles parameter semantics.

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 states a specific verb ('says') and resource ('the user'), making the tool's function clear. It is not a tautology because it explicitly describes the action rather than merely echoing the name. No siblings exist to differentiate from, so no differentiation is needed.

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 provides no guidance on when to use this tool, prerequisites, or exclusions. There are no sibling tools to contrast with, but the description also does not state a clear context such as 'use when the user greets you' or 'use to provide a friendly response.' This leaves the invocation timing to inference.

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