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

With no annotations present, the description carries the full burden. It does disclose the delivery shape — a full prompt kit with step-by-step instructions — which is useful given there is no output schema, but it says nothing about permissions, side effects, response format, or what '30-day support' means operationally, which is promotional rather than behavioral information.

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?

Only the middle sentence does definitional work; the first sentence ('AI-powered restaurant & brand intelligence pack') and the third ('30-day support promise') are promotional filler that consume attention without helping invocation. The operative clause is not front-loaded.

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 generator with no output schema, an agent still cannot tell what actually comes back (text prompt? document? workflow steps?) or which domain applies — 'restaurant & brand intelligence' and 'newmedia ops planner' point in different directions. Given the size of the sibling catalogue and the zero structured behavioral data, the definition leaves too much unresolved.

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?

There is a single optional parameter with 100% schema description coverage, so the schema already explains 'query' as an optional scoping input. The description adds nothing about how the query influences the generated planner, which is the one thing it could have contributed.

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 core clause 'generate a ready-to-use newmedia ops planner workflow' does state a verb and a resource, so the action is discernible. But it is wrapped in vague marketing framing ('AI-powered restaurant & brand intelligence pack', 'prompt kit'), and it never distinguishes itself from adjacent siblings such as media-mix-planner, content-calendar or shortvideo-ops-coach. An agent can guess what it emits but not what makes it different.

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?

There is no statement of when to select this tool, when not to, or which sibling to use instead, despite a large catalogue of overlapping planning tools. The only implicit cue is 'no prompt engineering needed', which describes packaging rather than a usage condition.

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