token_vesting_cliff_schedule_builder

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

With no annotations whatsoever, the description carries the full burden of behavioral disclosure. It goes beyond a generic summary by revealing determinism, per-second granularity, cliff behavior, revocation triggers, rounding protection, and the exact cost on Base L2. It omits output shape or side effects, but the disclosed behaviors are substantive.

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 a single dense sentence that front-loads the core function and then lists key behavioral attributes, followed by a relevant cost note. Every phrase earns its place; there is no filler or repetition of the schema.

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?

The description is adequate for a high-level understanding and includes a payment detail, but it leaves important gaps: the payload's internal structure is undocumented, and there is no output schema to clarify return values. For an agent to invoke this correctly, more explicit guidance on expected payload fields would be needed.

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 description coverage is 100%, so the baseline is 3. The schema only describes payload as a generic JSON string, and the description adds domain context by implying what the payload should encode (cliff periods, linear unlocking, revocability). However, it does not specify the expected payload structure or required fields, which limits how much semantic value it adds.

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 a specific verb ('computes') and a precise resource ('deterministic per-second token release schedules'), and enumerates concrete features: cliff periods, linear unlocking, revocability triggers, and truncation rounding protection. This clearly distinguishes it from the many calculation and DeFi sibling tools.

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 makes the intended use clear through domain language, but it does not explicitly state when to prefer this tool over alternatives or when not to use it. No sibling alternative is named, so an agent must infer selection from the tool name and domain-specific wording.

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