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

With no annotations, the description carries the disclosure burden and does well: it states the feed is keyless (no auth/API key needed), 'live', multichain and covers ~500 tokens across six named chains, and it discloses the built-in liquidity >= $50k pre-filter — a substantive behavioral constraint an agent would otherwise not know. It stops short of stating rate limits, latency/freshness semantics, or result-size 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?

A single front-loaded sentence that leads with the resource ('Meme coin radar —') and then packs coverage, fields, and the filter without filler. It is dense rather than padded, though the long enumeration of quote intervals (5m/1h/4h/12h/24h) is slightly listy for a description.

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 information, and it does: it lists price, market cap, liquidity, holders, multi-window change, and a scam flag, plus the liquidity filter. What is missing is result-set size/pagination and any notion of ordering (e.g. by hype ratio), which an agent would want before deciding how to consume the output.

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?

The tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description correctly implies a no-argument fetch rather than suggesting any filtering options that the schema does not offer.

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?

Names a specific resource and mechanism: trending meme tokens with hype ratios from social feeds merged with a live multichain market feed, plus an enumerated field list. It is clearly distinguishable in intent from siblings such as akari_hl_market, akari_market_report, akari_reddit_sentiment, and akari_feed, though it never explicitly contrasts itself with any of them.

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?

"Use for meme coin momentum scanning and degen ticker discovery" gives a clear use context with a named audience (degen/momentum scanning). There is no explicit when-not guidance and no named alternative tool for the adjacent job of, say, general market or sentiment lookups, which keeps it below 5.

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