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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds valuable context: data source (DeFiLlama + public data), the $12.8B total market figure, and the $0.02 USDC cost per call. These extra details go beyond what annotations provide.

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 description is concise, roughly 40 words, front-loaded with the main purpose (benchmarks) before listing specifics. It includes pricing and source without being verbose. The structure is clean and scannable.

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?

There is no output schema, so the description must convey what the agent will receive. It lists specific data points (tokenized T-bill yields, RWA TVL, YoY growth) and gives the source, which is enough for an agent to call correctly. It does not specify exact return format, but that is acceptable given the tool's apparent simplicity.

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 schema has one optional parameter, category, with enum values that are self-explanatory (e.g., 'treasuries', 'real_estate', 'credit', 'all'). The description mentions 'by category' but does not directly explain how the parameter filters results. Since the enum values are clear and the description hints at the filtering, the parameter semantics are adequate but could be more explicit.

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 clearly states that the tool returns real-world asset tokenization benchmarks, listing specific funds (Ondo, BlackRock BUIDL, etc.) and metrics (yields, TVL, YoY growth). It is specific enough to distinguish from sibling tools like get_defi_yield_benchmark or get_chain_tvl_benchmark, though it does not explicitly name an alternative.

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 provides no explicit guidance on when to use this tool versus alternatives. It does not state who this is for, when it is appropriate, or when to prefer a different benchmark tool. The domain is clear, but exclusionary or routing information is absent.

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