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merge_table_cells

Combine adjacent table cells into a single cell in Google Docs by specifying starting position and span dimensions for improved table formatting.

Instructions

Merge table cells into a single cell.

Creates a merged cell starting at (start_row, start_column) spanning the specified number of rows and columns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
document_idYesThe ID of the Google Document
table_start_indexYesThe index where the table starts
start_rowYesStarting row index (0-based)
start_columnYesStarting column index (0-based)
row_spanYesNumber of rows to merge
column_spanYesNumber of columns to merge

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While it states the tool 'creates a merged cell', it doesn't clarify if this is a destructive operation (overwrites existing content), requires specific permissions, has side effects on document structure, or handles errors (e.g., invalid indices). For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise and well-structured. The first sentence states the core purpose, and the second elaborates on the parameters without redundancy. Every word earns its place, making it easy for an agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

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, mutation operation) and the presence of an output schema (which reduces the need to describe return values), the description is minimally adequate. However, with no annotations and incomplete behavioral context, it doesn't fully prepare the agent for safe and effective use. It covers the 'what' but lacks the 'how' and 'when'.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, so all parameters are documented in the schema. The description adds minimal value beyond the schema by mentioning the parameters in context ('starting at (start_row, start_column) spanning the specified number of rows and columns'), but doesn't provide additional syntax, constraints, or examples. This meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Merge table cells into a single cell.' It specifies the verb ('merge') and resource ('table cells'), making the action unambiguous. However, it doesn't explicitly differentiate from its sibling tool 'unmerge_table_cells' beyond the opposite action, which would have earned a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 doesn't mention prerequisites (e.g., needing an existing table), compare it to sibling tools like 'unmerge_table_cells', or specify scenarios where merging is appropriate versus other table operations. This leaves the agent without contextual usage cues.

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

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