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nometalalchemist

io.github.nometalalchemist/kitchensink4xl

clear_filter

Remove an Excel sheet's autofilter and unhide the rows it hid, restoring the full view. Works on the active filter range or a specified sheet; returns the number of rows unhidden.

Instructions

Remove the autofilter from a sheet and unhide the rows it hid, the reverse of set_filter. location or sheet picks the sheet; the sheet's active autofilter range is used when location is omitted. A sheet with no autofilter refuses (NOT_FOUND) rather than silently no-opping. Returns how many rows were unhidden. A hazardous workbook refuses unless allow_loss is true. Auto-backup: prev/anchor slots in .ks4xl-backups; atomic verified save. Refuses while open in Excel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
sheetNo
backupNo
locationNo
allow_lossNo
verify_comNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations provided, the description carries full responsibility and does an excellent job. It discloses error behavior (NOT_FOUND), side effects (unhides rows), return value (number of unhidden rows), safety behavior (hazardous workbook refusal, allow_loss), backup behavior, atomic save, and the Excel lock refusal.

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?

Every sentence carries essential operational information. The core action is front-loaded, and the supporting details about selection, refusals, return values, backup, and Excel lock are compact and non-redundant.

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

Completeness5/5

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

For a tool with no annotations and 0% schema description coverage, this description is notably complete. It covers the operation, parameter semantics, failure modes, safety requirements, return behavior, and environmental constraints. The output schema exists, so the return type is already structurally defined.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It explains the location/sheet selection semantics, the default use of the active autofilter range, and the meaning of allow_loss. It does not explain verify_com or path in detail, but it adds substantial meaning beyond the schema for several parameters.

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 states the specific action: removing the autofilter from a sheet and unhiding rows, which clearly identifies the resource and behavior. It also names itself as the reverse of set_filter, distinguishing it from the most relevant sibling tool.

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

Usage Guidelines5/5

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

The description explicitly positions the tool as the reverse of set_filter, tells how sheet selection works, warns that a sheet without an autofilter refuses rather than no-oping, and specifies when allow_loss is needed. This gives agents clear when-to-use and when-not-to-use guidance.

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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