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

With no annotations, the description carries the full behavioral burden, yet it only vaguely implies the tool returns a 'prompt and operating playbook.' It does not say whether anything is created or modified, what permissions or inputs are needed, what the response looks like, or how sorting behaves — all of which matter for an unannotated tool.

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?

Three short sentences, but the lead is a benefit claim ('Save hours every week') rather than the tool's function, and 'toolkit'/'battle-tested'/'No setup' are pure filler. The one potentially informative clause (restaurant/brand growth) is buried mid-sentence.

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 one-parameter tool with no output schema and no annotations, the description should at minimum say what is returned and how output is scoped by 'query.' Instead it substitutes promotional copy, leaving the agent unable to predict inputs or results.

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% for the single optional 'query' parameter, so the schema already explains it. The description adds nothing about the query parameter but does not need to; baseline 3 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 never states the operative verb/resource: it calls itself a 'followup sort tool toolkit' that 'gives you a battle-tested prompt and operating playbook for restaurant/brand growth,' which restates the name in marketing terms rather than saying what the tool does (sort follow-ups? by what?). It offers no differentiation from the many followup-* siblings (followup-audit-tool, followup-gen-tool, followup-summary-tool), so an agent cannot tell which one to pick.

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 use this tool, when not to, or which sibling to prefer. 'No setup, works in any LLM chatbot' is a sales claim, not routing guidance, and the domain hint ('restaurant/brand growth') is the only usable scoping cue.

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