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knorq-ai
by knorq-ai

edit_table_cells

Replace text in multiple table cells across different tables in one .docx operation, with optional tracked changes for regulated environments.

Instructions

Replace the text content of multiple table cells in one operation. Cells can span different tables. Opens and saves the file only once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesAbsolute path to the .docx file
editsYesArray of cell edits
track_changesNoRecord edits as tracked changes. Default true.
authorNoAuthor name for tracked changesClaude
allow_untracked_editNoCapability flag required to disable tracked changes. When track_changes is false, this must also be true or the call fails with UNTRACKED_EDIT_NOT_ALLOWED. Default false. This is a safety guard against prompt injection or long-context drift in regulated-industry use — silent edits to legal/regulated documents must be opted into with two independent flags.
Behavior3/5

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

With no annotations, the description partially addresses behavior by mentioning the open/save optimization. However, it omits details on error handling, permissions, or side effects beyond replacing text.

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?

Two sentences, front-loaded with the core purpose. Every sentence adds value with no redundancy or wasted words.

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 5 parameters and no output schema, the description covers the main behavior but lacks context on use cases, tracked changes behavior beyond schema, and comparison to sibling tools for similar tasks.

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?

Schema coverage is 100%, so baseline 3 is appropriate. The description does not add meaning beyond the schema's parameter descriptions; it only summarizes the operation.

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

Purpose5/5

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

The description clearly states the action (replace text), the resource (multiple table cells), and the efficiency benefit (one operation, opens/saves once). It distinguishes from siblings like edit_paragraphs or replace_texts by specifying table cells.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies efficiency for bulk edits across tables but does not explicitly state when to use this tool over alternatives or when not to use it. No exclusions or comparisons to sibling tools provided.

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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