fluid_get_all_ftokens_details

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

No annotations are provided, so the description carries the full burden. It adds useful behavioral context by noting the 'single call' efficiency and listing returned fields (names, rates, TVL, underlying assets). However, it omits operational details such as response format, potential size limits, or any prerequisites, which are pertinent for a tool that retrieves all records.

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 extremely concise: a single sentence that front-loads the core action and returns a clear value proposition. The second phrase ('Perfect for a lending dashboard') adds minimal fluff but does not detract. Every word earns its place.

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?

Given no output schema and no annotations, the description partially explains return values (names, rates, TVL, underlying assets) but leaves out the precise structure or any pagination details. It is adequate for a simple bulk-getter but lacks completeness in terms of response format expectations.

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 coverage is 50%: 'chain' has a description in the schema, but 'rpc_url' is undocumented. The description does not compensate for the undocumented parameter; it only references 'chain' generically and does not explain rpc_url's purpose or relation. Since the description adds no parameter-level meaning beyond the schema, the score is below baseline.

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 the tool's function: 'Get details for ALL fTokens on a chain in a single call — names, rates, TVL, and underlying assets.' It specifies the verb ('Get'), the resource ('ALL fTokens'), and scope ('on a chain in a single call'), distinguishing it from sibling tools like fluid_get_all_ftokens (likely just token list) and fluid_get_ftoken_details (single token).

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 a use case ('Perfect for a lending dashboard') but does not explicitly state when to use this tool versus alternatives or mention any exclusions. It implies usage for bulk detail retrieval but lacks explicit when-to-use/when-not-to-use guidance.

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