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MauricioPerera

mcp-sqlite-tools-plus

⚠️ DESTRUCTIVE/SCHEMA CHANGE: Import the first sheet of an XLSX file (first row = headers) into SQLite. Creates the table from headers when missing and reports row-level errors.

import_xlsx

Import the first sheet of an XLSX file into SQLite, automatically creating a table from headers and reporting row-level errors for data quality.

Instructions

⚠️ DESTRUCTIVE/SCHEMA CHANGE: Import the first sheet of an XLSX file (first row = headers) into SQLite. Creates the table from headers when missing and reports row-level errors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYes
fail_fastNo
file_pathYes
batch_sizeNo
max_errorsNo
sheet_nameNo
create_tableNo
database_nameNo
Behavior2/5

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

The description discloses destructive schema changes, table creation when missing, and row-level error reporting, which are critical behaviors. However, it lacks details on data handling (e.g., append vs. replace for existing tables), progress feedback, or error format. With no annotations, more behavioral context is needed.

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

Conciseness3/5

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

The description is a single sentence with a warning emoji, making it concise and front-loaded with the most important cue ('DESTRUCTIVE/SCHEMA CHANGE'). However, it sacrifices necessary details, leaving significant gaps for a tool with 8 parameters.

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

Completeness1/5

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

Given 8 parameters, no output schema, and no annotations, the description is profoundly incomplete. It does not explain key parameters (e.g., database_name, fail_fast, max_errors) or describe return values/error reporting format. Users/agents would need external documentation.

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

Parameters1/5

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

The description only implicitly mentions header row handling via 'first row = headers', but none of the 8 parameters (e.g., batch_size, fail_fast, sheet_name) are explained. With 0% schema coverage, the description fails to add meaningful parameter guidance.

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

Purpose2/5

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

Tautological: description restates name/title.

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 warns about destructive behavior and schema changes, implying caution, but does not provide explicit guidance on when to use this tool versus alternatives like import_csv, import_json, or import_schema. No when-to-use or when-not-to-use criteria are given.

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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