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

Annotations already establish readOnlyHint and a closed-world scope, but the description adds real behavioral value beyond them: oldest-first ordering, the limit default, the exact pagination contract (has_more/next_after), and an explicit prompt-injection warning that entries are untrusted data. That last point is non-obvious and safety-critical.

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?

Four compact sentences, front-loaded with purpose and then the paging contract. No filler; every clause (ordering, default, format, injection warning) carries information an agent needs.

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 output schema, the description carries the return-shape burden and does so by naming has_more and next_after. Combined with the 100%-covered input schema and the safety annotations, nothing needed to call this correctly is missing.

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%, so the baseline is 3. The description still adds meaning the schema lacks: how after relates to the previous call's next_after, that limit defaults to 20 to keep responses small, and that csv is spreadsheet-safe.

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: reads entries a website's form sent to the form inbox. It is clearly distinguished from siblings like inbox_messages and delete_form_submissions by naming the source (website form entries) and ordering (oldest first).

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?

Gives concrete operational guidance: paging loop via after = next_after while has_more is true, and when to pick csv over json for spreadsheet-safe output. It stops short of naming alternatives or exclusions (e.g., when to use inbox_messages instead), so it is clear context without routing.

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