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Kiln

by codeofaxel
OverviewSchemaRelated ServersScoreDiscussions
Python

backup_database

Back up the Kiln database while optionally redacting sensitive fields like API keys and access codes, replacing them with 'REDACTED' for safe storage.

Instructions

Back up the Kiln database with optional credential redaction.

        Creates a copy of the SQLite database.  By default, sensitive fields
        (API keys, access codes, payment refs) are replaced with "REDACTED"
        in the backup.

        Args:
            output_path: Destination file path.  Defaults to
                ``~/.kiln/backups/kiln-YYYYMMDD-HHMMSS.db``.
            redact: If ``True`` (default), redact credentials in the backup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
redactNo
output_pathNo
Install Server

TDQS

A3.7/5.0
Behavior3/5

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

Describes that a copy of SQLite database is created and sensitive fields are redacted by default. No annotations provided, so description carries full burden. It adds basic behavioral details but omits potential side effects like database locking or performance impact.

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

Conciseness4/5

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

Description is concise and front-loaded with purpose. The Args section adds clarity but is slightly formal. No wasted sentences; every sentence contributes information.

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?

For a tool with 2 parameters, no output schema, and no annotations, the description covers purpose, default behavior, and both parameters adequately. It lacks error scenarios or prerequisites but is sufficient for basic usage.

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 coverage is 0%, so description compensates well. It explains output_path default pattern and redact default and meaning. This adds significant value beyond the schema's bare types and defaults.

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?

Description clearly states 'Back up the Kiln database with optional credential redaction,' using specific verb and resource. Among sibling tools, none are database backup, so it is well-differentiated.

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?

No guidance on when to use this tool vs alternatives or when not to use it. With hundreds of sibling tools, lack of usage context makes it hard for an agent to select this tool appropriately.

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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