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titan213

Oracle DB MCP Server

by titan213

list_tables

List tables and views in an Oracle database schema using a named connection. Optionally filter by schema or a LIKE pattern.

Instructions

List tables and views in a database schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoLIKE pattern to filter table names (e.g., 'MTX%')
schemaNoSchema name (defaults to current user's schema)
connectionYesName of the database connection to use
include_viewsNoWhether to include views (default: true)
Behavior2/5

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

No annotations exist, so the description bears full responsibility. It only states the basic action without disclosing resource cost, permission requirements, or error behavior (e.g., what happens if the schema does not exist).

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?

The description is a single, efficient sentence that front-loads the purpose. It is concise with no wasted words, though it could be slightly expanded without being verbose.

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

Completeness2/5

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

The description lacks details about the output format (e.g., list of names vs. full metadata) and fails to contextualize usage relative to sibling tools like describe_table or execute_query. It is minimally viable but leaves gaps.

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?

All 4 parameters have descriptions in the input schema (100% coverage), so the tool description adds no extra meaning beyond what the schema provides. Baseline is appropriate at 3.

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 'List tables and views in a database schema' clearly states the action (list), the target (tables and views), and the context (database schema). It distinguishes among siblings like list_procedures and list_connections.

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 is given on when to use this tool versus siblings like describe_table or execute_query. There is no mention of prerequisites, conditions, or typical use cases.

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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