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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, so safety is covered. The description adds genuinely new behavioral context: this is a point-in-time snapshot and it exposes `sync.lagSeconds` as a staleness signal, which an agent would not otherwise know. It doesn't state caching or rate-limit behavior, keeping it below 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?

Two sentences, with the payload contents front-loaded before the usage note. The long enumeration of fields is load-bearing rather than padding, since no output schema exists.

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 carries the return-shape burden and does so thoroughly — naming every metric category returned. An agent knows what it will get and how to judge freshness before calling.

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 nothing for the description to disambiguate; the 4 baseline applies. The description correctly implies no filtering arguments are needed.

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 resource ('snapshot of the whole Cardano DEX market') and enumerates exactly what it returns: ADA price, 24h volume, TVL, trade count, per-DEX volume share, gainers/losers/trending. This content enumeration implicitly separates it from near-siblings like get_market_movers and get_trending_tokens, but no sibling is named explicitly, so it stops short of a 5.

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?

Gives a concrete trigger ('how is the Cardano market doing' questions) and a second use case (checking data freshness via `sync.lagSeconds`). Usage is clear, but there are no exclusions pointing an agent to get_market_movers, get_market_history or get_defi_tvl for narrower queries.

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