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Delete a table

tables_delete
DestructiveIdempotent

Delete a table and all its rows, for good. Free.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "table": "<table>"
    },
    "name": "tables_delete"
  }
}

Input Schema

NameRequiredDescriptionDefault
tableYesThe table's name (or its table_id).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already flag destructiveHint=true and idempotentHint=true, so the safety bar is low, but the description adds real detail beyond them: deletion cascades to all rows and is permanent ('for good'). The trailing 'Free' is unexplained and adds no usable meaning.

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?

Very short and front-loaded: the action and its destructive scope come first. The final word 'Free' doesn't earn its place and slightly muddies an otherwise clean sentence.

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

Completeness3/5

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

For a destructive mutation with no output schema, the description covers what is destroyed but not the aftermath — whether deletion is immediate, whether recovery/undo exists, or what the caller gets back. Annotations carry most of the remainder, so it's adequate but with clear 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?

Only one parameter with 100% schema coverage, and the schema already explains it accepts a table name or table_id. The description contributes nothing additional about the parameter, so the baseline 3 applies.

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

Purpose4/5

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

Uses a specific verb (delete) and resource (table) plus a clear scope note that all rows go with it. It's distinguishable from tables_create/tables_list/tables_change_columns by the verb, though it doesn't explicitly name a sibling to avoid.

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 on when to use this versus alternatives (e.g., clearing rows with rows_delete, or restructuring with tables_change_columns), and no prerequisites or warnings about confirming before invoking. The agent is left to infer everything about timing.

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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