mimic_build_table

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

Annotations only set readOnlyHint=false, so the description carries the burden of behavioral disclosure. It explains the bulk creation nature and mentions a prerequisite check. It could further detail side effects (e.g., whether existing nodes are modified), but the provided context is solid and does not contradict 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 a single paragraph but front-loads the main idea and key benefits. It is appropriately sized given the complexity, though structured bullet points could improve scanability. Every sentence adds value, with no wasted words.

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?

Considering the tool's complexity (9 parameters, nested objects, no output schema), the description covers the purpose, key parameters, and a prerequisite. It mentions returning creation guidance if DS components are missing. It lacks a description of the return value, but given the complexity, the description is quite complete overall.

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% with detailed descriptions for all 9 parameters. The description adds value by explaining key usage patterns (e.g., 'text|supporting' syntax for rows, cellHeight for alignment) and providing examples (cellVariants for badge colors). This goes beyond the schema, justifying a 4.

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 it is a 'Bulk table builder' that creates an entire data table in one call, listing specific components (column frames, DS Table header cell, Table cell, variants, text, row height). It explicitly distinguishes from cell-by-cell insertion, making the purpose unambiguous and distinct from sibling tools.

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 when-to-use guidance ('Use for ANY HTML data table instead of cell-by-cell insertion') and highlights a key prerequisite ('Requires table cell components in the DS'). It also notes the benefit of reducing tool calls from 200+ to 1, giving clear context for selection.

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