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listTables

listTables

List all tables and views in a database schema, with names, types, and comments. Optionally filter by keyword or use current connection context.

Instructions

List all tables and views in a database schema. Returns table names, types (TABLE/VIEW), and comments. Uses the current context (project/connection/schema) if parameters are not specified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connectionIdNoNeoSQL connection ID from listConnections. If omitted, uses current context connectionId.
schemaNoMCP-enabled database schema name from listConnections (e.g., 'public', 'dbo'). If omitted, uses current context schema.
searchNoSearch keyword to filter tables by name or comment (case-insensitive). If omitted, returns all tables.
Behavior3/5

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

No annotations are provided, so the description must cover behavioral aspects. It implies a read-only operation but does not explicitly state non-destructiveness or any side effects. It mentions using current context, which adds transparency, but could be more explicit about safety or permissions.

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 that front-load the purpose and return value, with no redundant information. Every sentence earns its place.

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 simple listing tool with fully documented parameters and no output schema, the description covers the essential information (what is returned, fallback behavior). It could mention error handling or pagination, but is largely complete.

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

Parameters3/5

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

The input schema already provides 100% description coverage for all three parameters. The description only repeats the fallback behavior already in the schema, adding no significant new meaning.

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 tool's purpose: listing tables and views in a database schema, specifying the returned data (table names, types, comments). This distinguishes it from siblings like getTableDetails (detailed info on one table) or createTables.

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

Usage Guidelines4/5

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

The description explains that parameters are optional and fall back to current context, providing clear usage guidance. However, it does not explicitly contrast with alternatives like getTableDetails or state when not to use this tool.

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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