etabs_apply_table_edits

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

Annotations already indicate destructiveHint=true and readOnlyHint=false, so the description adds little behavioral insight. It does mention the return is 'Confirmation,' which is useful but minimal. No contradiction with annotations.

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 extremely short (one sentence plus return line). While concise, it could be better structured (e.g., using bullet points or providing context). It is not wasteful but is barely adequate.

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?

The description is moderately complete for a simple tool with no parameters. However, it does not explain what constitutes 'pending edits' or how they accumulate from previous operations (e.g., set_table_data). For a complete agent understanding, more context is needed.

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?

The input schema has zero parameters, so schema coverage is 100%. The description does not need to explain parameters; it simply states the action. Baseline 4 is appropriate given no parameter complexity.

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 clearly states the action: 'Apply all pending database table edits to the model.' It uses a specific verb ('apply') and a precise resource ('pending database table edits'). This distinguishes it from sibling tools like set_table_data (which sets data but does not apply) and get_table_data (which retrieves data).

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 provides no guidance on when to use this tool versus alternatives. It does not mention that edits are pending until this tool is called, nor does it refer to prerequisites like using set_table_data first. An agent would lack context for proper sequencing.

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