get_tip_quote

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

No annotations are present, so the description carries the full burden. It transparently states that the tool is read-only and does not trigger any side effects ('Does not send anything'). It also discloses the exact output (fee split between creator/recipient and platform wallet). While it does not mention authentication or rate limiting, the disclosed behaviors are sufficient for a simple quote 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?

The description consists of two sentences with zero wasted words. The first sentence immediately states the core function and output. The second clarifies what it does not do. The structure is front-loaded and perfectly concise.

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 a single parameter and no output schema, the description fully explains the input (USDC amount) and the output (fee split details). It also clarifies the tool's non-execution behavior. There are no gaps—the AI agent can confidently decide whether to invoke this tool and understand its return value.

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 input schema coverage is 100%, with a clear parameter description and a constraint (exclusiveMinimum). The tool description does not add any new meaning beyond what the schema already provides (e.g., it restates 'USDC tip amount'). Following the rubric, baseline 3 is appropriate when schema coverage is high and the description adds no extra semantic value.

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 uses a specific verb ('returns') and a precise resource ('exact fee split'). It clearly distinguishes this tool from the sibling 'build_tip_calldata' by explicitly stating 'Does not send anything — quote only.' The purpose is unambiguous and well-differentiated.

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 implicitly tells the AI when to use this tool (to get a fee quote before sending a tip) and when not to use it (because it does not send anything). However, it does not explicitly name the alternative tool 'build_tip_calldata' or provide an explicit when-not-to-use condition, leaving the decision slightly less guided.

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