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

With no annotations, the description carries the full burden, and the one genuinely useful behavioral fact it discloses — the output is a copy-paste prompt pack with examples, not a live coaching session — is buried in marketing phrasing. It says nothing about how the optional query is used, whether output varies, or any limits or permissions.

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?

Two sentences is a reasonable length, but the second is packed with filler ("production-ready", "run today", "copy-paste") while the load-bearing fact — that this ships a prompt pack — is the last clause. Front-loading the deliverable and dropping the audience claim would improve it.

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 single-parameter tool with no annotations and no output schema, the bar is low, yet the description still leaves the agent unsure of the domain (parenting vs. marketing ops) and of how the returned prompt pack should be used. The audience mismatch with the tool name is a real ambiguity an agent must resolve before calling it.

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 ("Optional user query to scope the analysis"), so the schema already carries the semantics. The description adds no meaning about what scoping the query achieves, which is acceptable only because the schema does the work.

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?

"A production-ready tantrum coach lite system" restates the tool name rather than stating a specific action, and the only added detail is a target audience — "marketing and operations leaders" — that is incoherent for a tantrum-coaching tool and actively muddies what it does. Nothing distinguishes it from the sibling "tantrum-coach".

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 description gives no when-to-use condition, no when-not-to-use condition, and never acknowledges the obvious alternative, the full "tantrum-coach" sibling. "You can run today" is sales copy, not routing guidance, so an agent has no basis to pick this over the non-lite variant.

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