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update_table_title_tool

Rename an existing table in Google Sheets while preserving all data and structure. Specify spreadsheet, sheet, current table name, and new title.

Instructions

Update a table title in Google Sheets.

This tool allows you to update the title of an existing table.
The table structure and data remain unchanged.

Args:
    spreadsheet_name: Name of the spreadsheet
    sheet_name: Name of the sheet containing the table
    old_table_name: Current name of the table to update
    new_table_name: New title for the table

Returns:
    JSON string with success status and update details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
spreadsheet_nameYesThe name of the Google Spreadsheet
sheet_nameYesThe name of the sheet containing the table
old_table_nameYesCurrent name of the table to update
new_table_nameYesNew title for the table

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the burden. It discloses that the table structure and data remain unchanged, which is helpful. However, it does not mention permissions, error behavior (e.g., missing table), or idempotency, leaving gaps for an agent to infer.

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 concise, with a clear opening sentence, a short explanation of side effects, and structured Args/Returns sections. Every sentence serves a purpose without redundancy or fluff.

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

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity and the presence of an output schema, the description covers the essential aspects: purpose, unchanged data, parameters, and return type. It lacks edge cases but is sufficiently complete for typical use.

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?

Input schema has 100% description coverage, so the baseline is 3. The description's Args section adds minimal extra meaning beyond the schema, simply restating parameter names and brief purpose. It does not clarify formats or constraints.

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 verb (update), resource (table title in Google Sheets), and the scope (existing table). It is unambiguous but does not explicitly differentiate from sibling tools like update_sheet_titles_tool or update_table_column_name_tool.

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, nor does it mention prerequisites or conditions like table existence or ownership. It lacks explicit context for selection among siblings.

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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