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iMateo

fastpanel-mcp

database_import

DestructiveIdempotent

Import SQL dumps into databases via SSH. Use dry_run to preview before destructive execution.

Instructions

Load a .sql dump file (already present on the host) INTO a database via SSH (mysql). DESTRUCTIVE: the SQL runs as-is, so a dump containing DROP/CREATE will replace existing tables and data. The source file must live inside the staging dir (default /root/fastpanel-mcp-dumps, override with FASTPANEL_DUMP_DIR) — paths elsewhere are rejected, so scp the file there first (or produce it with database_dump). Targets the local MySQL via root socket auth. WRITE — set dry_run:true to preview the command, confirm:true to execute. Requires SSH configured (FASTPANEL_SSH_HOST).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNo
dry_runNo
database_idYesTarget database id from databases_list
source_pathYesAbsolute path to the .sql file, inside the staging dir
Behavior4/5

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

Annotations already include destructiveHint:true. Description adds valuable context: 'DESTRUCTIVE: the SQL runs as-is, so a dump containing DROP/CREATE will replace existing tables and data.' Also notes SSH requirement. No contradiction with annotations.

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 with no filler. First sentence states main action. Second sentence packs warnings, prerequisites, and usage guidance. Front-loaded.

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?

Covers all aspects: what it does, destructive behavior, preconditions (staging dir, SSH), dry_run/confirm workflow, and output expectation (command preview or execution). No output schema but sufficient for selection and invocation.

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 covers 50% of parameters with descriptions. Description adds meaning for dry_run and confirm ('dry_run:true to preview the command, confirm:true to execute'), and explains source_path constraint (must be in staging dir).

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 verb 'Load' and resource '.sql dump file INTO a database via SSH (mysql)'. It distinguishes from sibling tools like 'database_dump' which produces dump files.

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?

Explicitly states when to use (importing SQL dumps), precondition (file in staging dir), and alternative (use database_dump to produce the file). Also warns about destructive nature and required SSH configuration.

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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