acedatacloud_update_email_preference

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

With no annotations, the description carries the transparency burden. It accurately states the mutation but does not mention the important confirmation gate represented by the 'confirm' parameter, nor does it describe side effects or prerequisites. The schema fills this gap, but the description itself adds only the single-topic scope.

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 tightly written sentence with no filler or repetition. It front-loads the action and scope, earning every word.

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?

For a low-complexity tool with rich schema coverage and an output schema, the description is mostly complete. It could name the list_email_preferences sibling as a supporting tool or mention the confirm requirement, but the essential invoke path is clear from the description and schema combined.

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%, and the parameters already have clear enum-based descriptions. The tool description does not add parameter-level meaning beyond echoing 'one email topic', so it neither helps nor hurts beyond what the schema provides.

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 ('Subscribe or unsubscribe') and names the exact resource scope ('one email topic'), making the tool's function immediately clear. It also distinguishes this tool from the sibling list_email_preferences tool by focusing on the mutation, not reading preferences.

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 clearly implies when to use the tool: whenever a user wants to subscribe to or unsubscribe from one email topic. It does not explicitly mention alternatives or when not to use it, but the context is clear enough for a simple preference toggle.

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