Create Table with Data

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

The description adds behavioral context beyond annotations: it emphasizes the need for a specific index from inspect_doc_structure, describes the exact data format constraints, and recommends verifying with debug_table_structure. Annotations already indicate it's a mutation (readOnlyHint=false) and non-destructive (destructiveHint=false). The description deepens transparency on workflow and constraints.

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 structured with sections and step-by-step instructions, but it is verbose and contains redundant emphasis (e.g., 'CRITICAL' and 'MANDATORY' both used, and steps are repeated). Some repetition could be trimmed without losing clarity.

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?

Given the tool's complexity (6 parameters, 4 required, dependency on inspect_doc_structure, and an output schema), the description is thorough. It covers the complete workflow, data format requirements, validation steps, and connection to sibling tools. The presence of an output schema reduces the need to explain return values.

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 description adds meaning beyond the input schema for all six parameters. It explains the index must come from inspect_doc_structure, details the 2D list format for table_data (including using empty strings instead of None), and notes the bold_headers default. Schema coverage is 100%, so the description enriches already well-described parameters.

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 tool's action: 'Creates a table and populates it with data in one reliable operation.' This specific verb+resource combination distinguishes it from siblings like append_table_rows (which only appends) and insert_doc_elements (which inserts generic elements).

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 explicit mandatory steps, including calling inspect_doc_structure first and using the 'total_length' value as the index. It also warns against using hard-coded index values. However, it does not explicitly mention when to use alternative tools like append_table_rows for adding rows to an existing table, leaving a minor gap.

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