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

With no annotations, the description does carry useful behavior: a free per-caller daily quota, a precisely scoped free payload (counts, percentiles, top 3), and the requirement to pass payment via X-Payment / X-Payment-Tx / Authorization: Bearer headers rather than parameters. It omits what happens when the quota is exhausted or whether paid data requires a different call, which caps it at a middling score.

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?

The same content is restated four times across an English query blurb, a zh paragraph, an en paragraph, and a Chinese version of that same paragraph, plus a payment note. The payload description is front-loaded reasonably, but the multilingual duplication is substantial waste.

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?

For a 7-parameter, zero-annotation, no-output-schema tool, the description adequately covers auth/payment and the free payload but leaves parameter meaning entirely undocumented. An agent can call it but cannot confidently construct filters like min_tvl or max_apy.

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 0% across 7 parameters, so the description must compensate and it largely does not — it only restates the names chain/project/stable/min_tvl/min_apy/max_apy/limit with no units, formats, defaults, or semantics (e.g. what 'stable' toggles, whether min_tvl is USD). The first parameter list even omits max_apy, creating inconsistency with the later lists.

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 description gives a concrete framing — answer 'what are the highest yield stablecoin pools' — and enumerates the returned payload (pool count, APY percentiles p25/p50/p75/p90, top 3 pools), so the resource and output shape are clear. It never distinguishes itself from siblings such as yield-pools.pool_report or the stablecoin-yield.top5/top20 family, which is exactly the 4-vs-5 gap.

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 states the free-tier limits (daily per-caller quota, sample payload) but gives no when-to-use guidance against the many adjacent tools, and no explicit 'use pool_report for full data' routing. An agent must infer that this is the cheap preview tier from the phrase 'free' alone.

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