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

With no annotations, the description carries the full behavioral burden, and it discloses almost nothing: "Includes the complete prompt, usage guide, and edge-case handling" implies the return is a packaged prompt artifact, but it never says whether the tool retrieves, generates, or executes anything, nor any side effects or prerequisites. Only the composition of the payload is hinted at.

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 opening line ("Turn expertise into output") is pure slogan and earns no place, and the remaining two are sales copy rather than functional specification. The text is front-loaded with fluff instead of the resource being produced.

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?

With no annotations, no output schema, and a single undocumented-in-prose parameter, the description needs to explain what comes back and how to use it; instead it leaves an agent unable to predict the response or confirm it picked the right tool among hundreds of near-identical prompt-pack siblings.

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 as an optional scoping input. The description adds nothing about how the query influences the returned prompt, which is the baseline-3 outcome when the schema does the documentation 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?

The description restates the name ("okr kpi prompt pack") and wraps it in marketing language ("Turn expertise into output", "professional results in minutes") without ever stating what the tool actually returns or does — presumably it emits a prompt template, but that is left to inference. It does name an audience ("restaurant and brand teams"), which is the only distinguishing signal against the hundreds of sibling prompt-pack tools.

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 when-not-to-use, and no named alternative among the many sibling tools (e.g. annual-brand-marketing-pro, brand-strategy-planner, fnb-* tools). The audience mention hints at context but gives the agent no decision rule for selecting this tool over others.

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