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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds context about the data included (buys in the last ten minutes, deployer's record), which is useful but not behavioral detail like rate limits or output format. It does not contradict annotations.

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 sentence that is concise and front-loads the primary purpose. It avoids unnecessary filler and is appropriately sized for a tool with no parameters. The structure is clear, though slightly run-on.

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 parameters and no output schema, the description gives some indication of what results contain (tokens, buys, deployer record) but does not specify the shape, ordering, or whether it returns a list. Given the simplicity of the tool, this is adequate but leaves room for more precision about the return format.

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?

There are zero parameters, so the schema is trivially covered. The baseline for 0 params is 4, and the description correctly avoids any parameter explanation since none exist.

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 clearly identifies the resource (tokens on a curve) and the specific condition (closest to filling curve and opening a pool), and adds relevant details (recent buys and deployer record). It does not use an explicit verb like 'list' or 'get', but the intent is unambiguous. It is distinct from siblings by the 'graduating' focus, even without naming alternatives.

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?

No guidance is provided on when to use this tool versus the many similar monitoring tools among siblings (e.g., moving_now, smart_money, signals). The description implies a use case but does not state conditions or exclusions. An agent would have to infer when 'graduating soon' is the right filter.

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