Apple Suggest Message Conversations

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

Annotations already declare readOnlyHint and idempotentHint, and the description adds the useful context that this is a completion fallback. It does not describe the data surfaces or suggestion behavior in detail, but there is no contradiction with the annotations.

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 very short, and the second sentence is genuinely useful. However, the first sentence largely restates the tool name and adds only the vague 'current Apple data surfaces' phrase, so not every sentence earns its place.

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 output schema and annotations cover the return shape and safety profile, but the description leaves parameter semantics and routing versus sibling tools underspecified. An agent could call the tool with defaults, but it would not understand how to use query or limit effectively from the description alone.

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 0%, and the description does not mention 'limit' or 'query' at all. The parameter names are somewhat self-explanatory, but the description adds zero meaning about their semantics, accepted formats, or how they affect suggestions.

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 states that the tool suggests message conversations and frames it as a completion fallback, which gives a clear verb, resource, and role. It does not fully contrast with sibling suggest tools, but the resource is specific enough to avoid most confusion.

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 explicitly identifies the trigger condition: clients without MCP completion support should use this as a fallback. It does not explicitly mention alternatives like messages_list_conversations or other suggest tools, so exclusion guidance is incomplete.

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