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

With no annotations, the description carries the full burden and does unusually well: it discloses that posting does not equal traffic, that reach comes from the user's paid ads, that product creation requires a URL because the image is scraped from the page, and that text-only descriptions and placeholder/stock images are rejected. It still omits the side-effect profile an agent needs — whether content is published immediately or gated behind autowhisper_confirm, and whether this operation draws on autowhisper_wallet funds.

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-loaded with the core action, then capability buckets, examples, and scope caveats. Every sentence is doing work — the examples disambiguate the natural-language parameter and the 'honest scope' note prevents a misuse class — though the three-quote example block is on the verbose side for a single-paragraph tool.

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?

There is no output schema, and the description only promises 'its reply,' never characterizing the response or whether the call is synchronous. For a tool that generates creatives and posts across 30+ networks, the omission of the publish/confirm flow and any cost or rate-limit context leaves a meaningful gap despite the otherwise thorough scope notes.

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%, so the workspace_id language-inheritance and token precedence rules are already fully documented in the schema (baseline 3). The description nonetheless adds real semantic value by constraining how instruction and product_id must be constructed: a product only gets created if a URL is supplied, since the CMO extracts the image from the page.

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 — send a natural-language instruction to an AI CMO and get its reply — and enumerates three concrete capability areas (creative generation, funding/targeting advice, channel maintenance). An agent can tell what this does, but nothing in the text distinguishes it from the closely-named sibling autowhisper_action, so sibling differentiation is absent.

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 'Best at' buckets plus three worked example instructions give clear positive guidance on when to reach for this tool over a structured endpoint. However, no exclusions or alternatives are named (e.g., when to use autowhisper_action or autowhisper_products instead), so the routing guidance is context-rich but one-sided.

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