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

No annotations are supplied, so the description carries the full burden. It does disclose one useful behavioral fact — that the deliverable is a packaged artifact consisting of 'the complete prompt, usage guide, and edge-case handling' — but says nothing about how the optional query scopes the result, whether anything is executed or generated, or what permissions/costs are involved.

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 short sentences, so it is not bloated, but the leading sentence is pure slogan and the substance ('prompt pack', 'complete prompt, usage guide, edge-case handling') arrives last. Front-loading the artifact description would make it far more scannable.

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 zero-required-parameter, no-output-schema tool the description is minimally adequate — it names the artifact and its components. It still leaves the agent unsure what a call actually returns and how the optional query alters it, which is the main remaining gap given there are no annotations to fall back on.

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' property, so the schema already defines it; the description adds no meaning about how query influences the returned prompt pack. 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 identifies the resource as a 'membership ltv ops prompt pack' for 'restaurant and brand teams', which is more specific than the bare name, but the framing is buried under generic marketing language ('Turn expertise into output', 'produce professional results in minutes'). It never states the concrete action (does it return a prompt text? run an analysis?) and gives no basis for choosing it over siblings like member-system-design or retention-analyze-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?

Only an implied audience ('restaurant and brand teams') is given; there is no explicit when-to-use, when-not-to-use, or named alternative among the many sibling tools. The agent must infer the tool's role entirely from the name.

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