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

Annotations already establish the safe read-only, idempotent, closed-world profile. The description adds meaningful behavior beyond that: the Free-tier restriction to alerts older than 24 h with a 20-result cap. It does not mention pagination behavior or auth requirements for the keyed tier in detail.

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 tight sentences with no filler. The core purpose and ordering come first, and the tier caveat is placed at the end where it belongs.

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 and all parameters optional, the description supplies the key context an agent needs: sort order, available filters, and the Free-tier time/limit constraint. Minor gaps remain around the keyed tier's behavior and result shape.

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 all seven parameters including relative time formats and severity thresholds. The description restates the filter dimensions but adds no new syntax or defaulting detail, so the baseline 3 applies.

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 ('List recent impersonation coins') plus ordering ('newest first') and the filter dimensions. It is clearly distinguishable from siblings like check_token, get_brand_report, and search.

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?

Gives three concrete use cases (answering 'are there fake <brand> tokens?', monitoring a brand, collecting takedown cases), which tells the agent when this tool is appropriate. It does not name an alternative sibling or state when-not to use it, so it falls short of a 5.

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