list_tables
List all tables in the connected SQLite database to quickly view and explore the available datasets.
Instructions
List all tables in the SQLite database
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all tables in the connected SQLite database to quickly view and explore the available datasets.
List all tables in the SQLite database
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'list all tables' without indicating whether the operation is read-only, what the output format is (e.g., array of names, object), or if any system tables are included. The bare description adds minimal value beyond the tool name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is front-loaded and contains no extraneous words. It efficiently conveys the core purpose without any waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool with no output schema, the description is minimally adequate. It tells the agent what the tool does, but does not explain what 'list' returns (e.g., table names, details) or how the results are presented. Given the simplicity, the description is complete enough for basic use but lacks depth for an agent to fully anticipate the output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and schema description coverage is 100%. Since there are no parameters to document, the description does not need to add anything. The baseline of 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (list) and resource (tables) with scope (in the SQLite database). It unambiguously distinguishes from sibling tools like create_table, describe_table, and read_query, which serve different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not explain that this is for discovering all tables (as opposed to describe_table for a specific table) or when not to use it. The sibling tools are not mentioned, leaving the agent to infer usage context.
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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