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

Annotations are empty, so the description carries the full burden. It discloses the meaningful output surface (score calibration basis, risk flags, honeypot detection, temporal prediction), but says nothing about whether the call is read-only, cost/latency of a 'full' scan versus preview, or any rate limits.

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?

One compact sentence that front-loads what the tool does and follows with the return contents. No filler, though the marketing-flavored 'calibrated on the real outcomes of tokens RugSlayer scanned' phrase is heavier than it needs to be.

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, the description usefully enumerates the returned fields (score 0-100, risk level, rug stage, honeypot, flags, temporal prediction), which is what an agent needs to know. The main gap is the absence of any routing versus scan_token_preview.

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?

Single required parameter with 100% schema description coverage ('Solana token mint address (base58)'), so the schema already documents format and meaning. The description adds no further detail about the mint argument; 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+resource (risk analysis for a Solana token) and names the analyzable entity precisely. The word 'Full' hints it is the heavier counterpart to scan_token_preview, but the sibling is never named, so differentiation must be inferred.

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 when-to-use guidance, no conditions, no mention of scan_token_preview as the lighter alternative even though it is the obvious sibling. The agent is left to guess whether this or the preview variant is appropriate.

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