justhandled_one_click_unsubscribe_header_checker

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

With no annotations, the description must carry the full burden of behavioral disclosure, but it only reveals the cost and that the input is normalized marketing-message evidence. It does not state whether the operation is read-only, what it returns, how errors are handled, or any side effects. The cost disclosure is useful, but the lack of safety/mutation details is a significant gap for a tool with zero annotation coverage.

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, consisting of two short sentences with no redundant or vague wording. It efficiently communicates the core purpose and a critical constraint (cost) in a front-loaded manner.

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 the tool's moderate complexity (one parameter, no output schema), the description is incomplete. It does not explain what the output looks like, how to interpret results, what constitutes valid List-Unsubscribe/RFC 8058 headers, or whether there are any prerequisites like specific message formats. The cost and input normalization are mentioned, but many essential behavioral aspects are missing.

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 has zero description coverage, so the description is needed to explain parameter semantics. It mentions 'normalized marketing-message evidence' and the folder headers, but it does not clarify the structure of the 'messages' array, the meaning of 'id', 'message_type', or how 'headers' should be formatted. This is insufficient compensation for the schema's lack of descriptions.

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: checking normalized marketing-message evidence for List-Unsubscribe and RFC 8058 one-click headers. The verb 'Check' is specific and the resource (headers) is well-defined, distinguishing it from sibling checkers like image_to_sku_match_checker or UTM link consistency checker. However, it does not specify what 'check' entails (e.g., presence, format validation), so it stops short of a 5.

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 guidance on when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. While the name implies a use case, there is no explicit context or references to sibling tools, leaving the agent to infer when to invoke this checker among many similar 'justhandled_' tools.

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