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

With no annotations, the description carries full burden and does well: it discloses cost ($0.02 from clink shop credits), the auth path (get a key with buy_credits or /buy/credits), and the free-on-failure/404 policy. It also lists the component data sources and the shape of the AI summary. No rate limits or latency, so not a 5.

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?

Front-loaded with the core action and result set, then the not-advice disclaimer, then cost/auth/free-call mechanics. Dense but every clause conveys distinct information; the parenthetical source list is the only slightly heavy element.

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?

No output schema exists, and the description compensates by enumerating the returned fact categories and the AI summary fields (level, confidence, flags). Cost, auth, and failure behavior are covered. Missing only operational details like latency or rate limits, which are minor.

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 coverage is 100% and there is only one parameter, so the schema already fully documents 'address' as a 0x-prefixed Base token contract. The description adds only the implied input source ('send a contract address') and no syntactic detail beyond the schema — baseline 3.

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?

Specific verb+resource: send a Base token contract address, receive honeypot/tax/ownership facts, DEX price/liquidity, holder count, social chatter, and an AI risk summary. The enumerated data sources (GoPlus, DexScreener, on-chain, X) make the tool unmistakable among the pm_/x_/sec_ siblings.

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?

It implies the use case (risk assessment on a Base token) and states what it explicitly is not (not investment advice, no buy/sell signal), which is a useful boundary. But it never says when to prefer it over alternatives or what precondition must hold — no guidance on how to obtain the address or when the tool is the wrong choice.

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