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

Goes well beyond the annotations by disclosing that TikTok reviews the template via audit_status, that it must pass before use, the confirm=false preview mode, and the hand-off to create_tiktok_ad. Annotations only supply the generic openWorld/non-idempotent/create flags; the description supplies the operational behavior.

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?

Front-loads what the tool does and why it matters before drilling into parameters and workflow. Slightly dense with an inline JSON example, but each sentence adds information rather than restating the name or 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?

An output schema exists so return values need not be explained, and the description still usefully mentions audit_status. It covers the nested suggested_questions structure and the workflow hand-off, leaving only advertiser_id and rate/error behavior unspecified for this 5-parameter tool.

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?

With 0% schema description coverage the description carries the burden well: it defines title, content, and the suggested_questions shape including that both question and answer are mandatory, plus confirm=false previewing. It omits any explanation of advertiser_id, the one required parameter left undocumented.

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?

States a specific verb and resource ('Creates a TikTok WELCOME-CHAT (automated message) template') and clarifies exactly what it produces, the greeting plus optional suggested-question/answer pairs. It is clearly distinguishable from sibling list_tiktok_auto_messages and the various create_tiktok_* 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?

Gives explicit when-to-use context ('TikTok requires such a template on every messaging ad, so without this no DM campaign can go live') and describes the downstream workflow (pass the auto_message_id to create_tiktok_ad once audit_status PASSes). The confirm=false preview guidance further clarifies invocation modes.

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