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

Beyond the annotations, it discloses meaningful behavior: the data sources (heuristic screen + DexScreener), that retrieval time is returned, that evidence can remain 'unknown', that a mint selector is not proof of callable minting, and a firm price of $0.02 USDC on Base via x402. That cost/payment detail is exactly the kind of extra context annotations cannot carry. It stops short of describing return shape or failure/refund behavior.

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?

Purpose is front-loaded, then limits/caveats, then usage, then cost. The sentences are dense but each carries distinct information; the heavy caveat run is slightly repetitive ('not a safety guarantee', 'illustrative examples are not live quotes') but nothing is wasted.

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 must carry return-value semantics, and it does at a summary level: source, retrieval time, owner/paused/proxy facts, selector checks, and their epistemic limits. An agent knows what it will get and what it cannot conclude, though it lacks field-level detail and pagination/error handling notes.

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 single 'address' parameter is already documented as a Base contract address (0x...). The description reinforces the Base-token scope but adds no format, validation, or edge-case guidance beyond the schema, 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?

The opening sentence names a specific verb+resource: heuristic screening of a Base token combined with DexScreener market data, and the body scopes what it returns (owner, paused, proxy facts, selector checks). It is clear what the tool does, though it never explicitly distinguishes itself from near-neighbors such as contract_risk or base_token_info.

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 gives a concrete trigger: 'Use before swapping into an unfamiliar Base token.' That is real when-to-use guidance, but there are no explicit exclusions ('do not use for known/verified tokens') and no named alternative tool for overlapping screening needs.

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