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

No annotations are supplied, so the description carries the full burden, and it discloses only that the payload contains a prompt, a usage guide, and edge-case handling. It says nothing about whether the call is read-only, whether it mutates state, whether a query is required to get useful output, or what form the response takes.

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 three sentences, but the first ('Turn expertise into output') and the closing benefit claim are pure filler that push the one substantive fact — that this ships a prompt, guide, and edge-case handling — into the middle. The structure is promotional rather than front-loaded with actionable 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 a family of near-identical siblings, the description should clarify what the template pack returns and when to pick it over the gen/check variants. Instead it leaves the agent guessing about output format and the gen-vs-tpl distinction, which is the single most consequential unknown here.

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 a single optional parameter at 100% schema description coverage, the schema already explains 'query' as an optional scoping input. The description adds nothing about how the query shapes the returned prompt, so it neither compensates nor detracts — baseline applies.

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 leans on marketing language ('Turn expertise into output', 'produce professional results in minutes') rather than stating a concrete verb and resource. It only obliquely reveals that this returns a prompt pack, and 'schedule tpl tool' merely restates the name. An agent cannot tell from this text what the tool actually produces or how it differs from pm-schedule-gen-tool or pm-schedule-check-tool.

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 at all — no conditions, no exclusions, and no mention of the closely named siblings pm-schedule-gen-tool and pm-schedule-check-tool that an agent must choose between. The target audience claim ('restaurant and brand teams') is marketing framing, not invocation guidance.

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