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

With no annotations, the description carries the full behavioral burden. It discloses useful context such as structured typed tables, row-by-row reading/changing, and cross-workspace behavior, but it does not explicitly state that this specific call is read-only, nor does it cover ordering, pagination, permissions, or return shape.

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 short and reasonably front-loaded, moving from concept to usage to workspace scope. The first sentence mixes listing with row-by-row reading/changing, which slightly blurs the action, but there is little wasted text.

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 simple one-parameter list tool, the description covers purpose, examples, alternatives, and workspace scope. It is still incomplete because it does not clarify the list-vs-get distinction, return shape, pagination/order, or resolve the workspace omission inconsistency with the schema.

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 schema already defines workspace. However, the description says that without workspace it lists tables everywhere the user is, while the schema says omitting workspace selects the user's personal one; that is a potentially misleading conflict about parameter behavior.

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 explains that these are the user's structured, typed data tables and says it lists tables, with concrete examples like an outreach registry and CRM. It distinguishes data tables from note tables and spreadsheets, but it does not explicitly distinguish this listing tool from siblings such as get_data_table or query_rows.

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 a clear usage rule: use data tables instead of a table inside a note or a spreadsheet whenever keeping records. It also explains that omitting workspace lists tables everywhere, but it does not state when to use this tool versus get_data_table, query_rows, or create_data_table.

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