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

Annotations already cover safety (readOnlyHint, idempotentHint, non-destructive, closed-world), so the bar is lower. The description adds real value beyond them by disclosing that results come back as a 0-100 score across eight named dimensions and that each finding maps to a remediation tool, which is non-obvious behavior.

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?

One front-loaded sentence that states the action, the output scale, the criteria, and the follow-up routing with no filler. The parenthetical criteria list is dense but each item earns its place by defining the scoring rubric.

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 read-only, single-optional-parameter tool with no output schema, the description supplies enough: what is scored, how it is scaled, and that fixes are linked. The exact return shape (per-dimension breakdown vs. prose) is left implicit but is not critical to correct invocation.

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% and the single 'page' parameter already documents the 'home' default and subpage-slug semantics. The description adds nothing about the parameter, so this is a baseline 3 where the schema does all 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?

The description states a specific verb and resource ('Score a page out of 100') and enumerates the eight criteria the score covers, so the agent knows exactly what the tool produces. It stops short of contrasting itself with siblings like get_stats or get_page, which an agent could easily confuse it with.

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?

Usage is implied: call this to diagnose a link-in-bio page and it names the fix tools for each issue, which nudges toward a diagnose-then-edit workflow. There is no explicit when-not guidance or named alternative such as get_stats for raw metrics, leaving the routing partly to inference.

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