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

Annotations already declare readOnlyHint and idempotentHint, so the safety profile is covered. The description goes further by disclosing the full return shape and the conditional-visibility behavior ('answers for a table a condition is hiding, where all three writes would be refused'), which is real behavioral context that annotations do not provide.

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 description is front-loaded with the return contents and followed by the write prerequisite, with no filler. However, the third sentence ('The field list reports a table's cells and none of the rest, which is enough to read one and not enough to know whether a write will be taken') is dense and slightly harder to parse than necessary, keeping it from a perfect score.

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-value burden and does so thoroughly by enumerating columns, indexed cells, values, and write-permission flags. It also covers the condition-hidden edge case. It is nearly complete; only minor details like error behavior or exact response shape are left implicit.

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 schema already explains that taskKey, fieldKey, and checklistKey are GUIDs, including that fieldKey comes from get_task_fields. The description adds no parameter-level syntax or constraints beyond that, which is acceptable at baseline 3 when the schema does 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 exactly what the tool returns for a single table control: columns, every cell with row/column index and value, read-only flags, row-add permission, and removable rows. It explicitly distinguishes itself from get_task_fields by noting that the field list reports cells but 'none of the rest,' so an agent can tell the two apart without opening either 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?

It gives an explicit trigger ('Read this before writing to a table') and names the insufficient alternative (get_task_fields) with the reason it is insufficient for write decisions. It also notes that the tool answers for condition-hidden tables where all three writes would be refused, covering an edge case an agent would otherwise miss.

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