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

With no annotations supplied, the description carries the full behavioral burden. It does mention the deliverable includes "the complete prompt, usage guide, and edge-case handling," which hints the return is a static prompt pack, but it never states whether the tool performs any action, whether it is read-only, or what invoking it actually produces. The opening slogan actively obscures rather than clarifies 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?

At three sentences it is short, and the third sentence (what the pack includes) is the only substantive one. However, the front-loaded slogan "Turn expertise into output" is pure filler occupying the highest-attention position, so the structure is not front-loaded with useful information.

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 tool with no annotations, no output schema, and an ambiguous deliverable, the description should clarify what invocation returns and how the query affects it. Instead it leaves the core question — what does calling this tool actually produce — unanswered, which is inadequate for an agent deciding whether to call it at all.

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 (`query`) and schema description coverage is 100%, so the schema already explains it as an optional scoping input. The description adds nothing about the parameter, but per the high-coverage baseline a 3 is appropriate.

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 restates the name ("year plan generator prompt pack") and wraps it in marketing phrasing ("Turn expertise into output", "produce professional results in minutes") without stating a concrete operation. It adds only a vague audience ("restaurant and brand teams"), and never says whether the tool generates a plan, emits a prompt payload, or returns a guide. An agent cannot distinguish it from siblings like brand-year-plan-pro or annual-brand-marketing-pro on this text.

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 when-to-use guidance, no prerequisites, and no named alternative among the many year/annual-plan siblings. The only implicit scoping is the audience mention (restaurant and brand teams), which does not tell an agent when to select this tool over the alternatives.

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