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

No annotations are supplied, so the description carries the full disclosure burden, and it discloses almost nothing: no indication of whether the tool is read-only or mutating, what state it touches, or what it returns. The phrase 'copy-paste prompt pack with examples' hints at a static deliverable, but this is not developed into usable behavioral context.

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 two sentences, but both are promotional framing rather than functional specification, and the concrete hint ('prompt pack with examples') is buried at the end. The space used is small but almost none of it earns its place as tool guidance.

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 one optional parameter, no annotations, and no output schema, the description is the only source of behavioral information, and it leaves the return format and effect of the query unexplained. For a tool in a crowded catalog of near-identical prompt-pack siblings, this is insufficient to call it correctly.

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 explains it fully. The description adds no extra meaning about how the query influences output, which is acceptable at baseline 3 but is no value-add.

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 a concrete verb or operation; it restates the tool name as a 'friend boundaries system' packaged as a 'copy-paste prompt pack with examples.' An agent cannot tell from this text what the tool actually produces or how it differs from the hundreds of sibling prompt-pack tools such as workplace-pushback or cross-team-talk-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 only scoping signal is an audience label ('for marketing and operations leaders'), which is a marketing claim rather than a when-to-use rule. There is no statement of when this should be chosen over alternatives, no prerequisites, and no exclusions.

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