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

With no annotations, the description must carry the full behavioral burden. It usefully discloses provenance (DefiLlama, with a pointer to RWA.xyz), the daily cadence, and the asset-class breakdown, which is context beyond structured fields. However, it says nothing about freshness/lag, rate limits, attribution requirements, or the shape of the response, leaving real gaps for a zero-annotation tool.

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, both load-bearing: the first defines the artifact and its source, the second gives query triggers. What it is comes before when to use it, and there is no filler.

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 and no annotations, the description alone must convey what comes back, and it does at a useful level (protocols ranked by TVL, issued asset value by class such as Treasuries, credit, commodities). A brief note on return granularity or currency would close the remaining gap.

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; the baseline for a no-param tool is 4. The description correctly implies a no-argument, fetch-everything call.

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 verb+resource ('Daily snapshot of tokenized-asset (RWA) protocols by TVL') and names the data source, so an agent knows exactly what this returns. It is clearly distinguishable from every sibling, all of which concern custody platforms, incidents, or stablecoin supply.

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?

The description routes the agent with concrete trigger phrases: 'how big is tokenization', 'largest RWA protocols', 'where to find tokenized Treasury fund sizes'. It does not name an alternative tool or state exclusions, but the query routing is explicit and directly usable.

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