encode_packed

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

With no annotations, the description carries the full burden. It discloses that encoding is 'non-standard packed', which is a key behavioral trait. However, it does not mention potential pitfalls like collision risks, no padding, or validation behavior. For a pure encoding function, this may be acceptable but still leaves gaps.

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, concise sentence that conveys the essential information without unnecessary detail. It is well-structured and easy to parse.

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 that there is no output schema, the description does not explain the return format (e.g., hex string). It also does not mention constraints like the length of the types and values arrays. For an AI agent, this may be sufficient for basic use, but it lacks completeness for robust invocation.

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 already provides 100% coverage for both parameters, including examples for types and descriptions for values. The description adds no extra semantic information beyond what the schema offers, so baseline 3 is appropriate.

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: encoding values using Solidity's abi.encodePacked. It identifies the specific method (abi.encodePacked) and notes the 'non-standard packed encoding' trait, distinguishing it from a probable sibling like abi_encode.

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 gives clear context that this tool is for packed encoding, which implies when to use it. However, it does not explicitly name alternatives or state when not to use it. The qualifier 'non-standard packed encoding' provides nuance but lacks an explicit comparison to siblings.

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