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

With annotations covering only the safety profile (not read-only, not destructive), the description carries real weight: it discloses the billing model (free to publish, $0.15 per unique page on first verified external human open, waived by the add-on), that results are written back into the source list/sheet, and the URL shape. It also adds a prompt-injection guard noting row values are customer data, not instructions. It does not cover partial-failure behavior, per-call limits beyond max_rows, or whether republishing overwrites existing URLs.

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?

The core action is front-loaded, but the opening sentence is very long with stacked parentheticals (URL template, column semantics) and the billing sentence packs three pricing clauses. Every element is relevant, yet the density makes it harder to scan than it needs to be.

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 an 18-parameter, no-required-parameter mutation with no output schema, the description covers the essentials: source selection, write-back location, URL format, cost model, and an injection-safety note. Auth requirements, behavior on rows that already have URLs, and how max_rows interacts with billing are the main remaining gaps.

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 coverage is 100%, so the baseline is 3. The description adds some relational meaning beyond the schema: that output_column is a column letter specifically on a sheet, that spreadsheet_id pairs with output_column, and that template_slug controls the URL path. Those hints are useful but partial, with no coverage of theme, CTA, alerting, or domain parameters.

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?

States a specific verb and resource: publish personalized outbound micro-pages from a Hosted List or a connected Google Sheet. It also describes the side effect (writing the hosted URL and optional Step 1 hook back to rows), which no sibling tool does, so it is distinguishable without opening the schema.

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 input routing (list_id vs spreadsheet_id plus output_column) and the conditional template_slug behavior, which is useful. It never says when to use this instead of related tools such as list_page_templates, read_sheet, or get_page_analytics, and gives no prerequisites or exclusions, so usage guidance is only implied.

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