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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so safety is covered. The description adds genuine value by enumerating the data the response covers (staked FLDT, nodes, fee tanks, ADA locked, executions, fee events, rewards) — important since there is no output schema — but it says nothing about freshness, aggregation window, or completeness of that data.

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 with no filler. It loses a point only because the closing clause ('the tokens fee tanks accept') is grammatically broken and slightly ambiguous, reducing parse reliability more than it saves length.

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 burden of describing the return, and it only partially does so — a flat field list without shape, ordering, or freshness. Enough for an agent to decide to call it, but not enough to predict the response usefully.

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. Baseline of 4 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 description names the domain (FluidTokens Aquarium network) and enumerates the data surfaces covered, which lets an agent distinguish it from generic overview siblings like get_market_overview or get_loans_overview. However, it is a bare noun-phrase list with no verb, so it never states that it returns a read-only snapshot overview; the agent must infer that from the tool name.

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?

There is no guidance on when to call this versus the many other '*_overview' tools, nor any prerequisites or exclusions. The only usage signal is implicit domain naming, which forces the agent to infer the trigger conditions.

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