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rawtreedb

RawTree MCP Server

Official
by rawtreedb

Delete Table

delete-table
Destructive

Permanently deletes a RawTree table and all its data. Requires admin key and user confirmation; cannot be undone.

Instructions

Purpose: Permanently delete a RawTree table and its data.

NOT for: Clearing a query result or undoing a single insert. This deletes the whole table.

Returns: Deletion confirmation.

Safety: You MUST ask the user to confirm the exact table name before calling this tool. This action requires an admin key and cannot be undone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYesTable name to delete.
clusterNoRawTree cluster to use for this operation.
databaseNoOptional RawTree database override. RawTree uses the default database when omitted.
organizationNoRawTree organization containing the target cluster.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changedv0.3.2
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • addedInput schema / properties / cluster
      Added value: +{
      +  "description": "RawTree cluster to use for this operation.",
      +  "minLength": 1,
      +  "type": "string"
      +}
    • removedInput schema / properties / confirm
      Removed value: -{
      -  "description": "Set to true only after the user explicitly confirms deletion of this exact table.",
      -  "type": "boolean"
      -}
    • addedInput schema / properties / database
      Added value: +{
      +  "description": "Optional RawTree database override. RawTree uses the default database when omitted.",
      +  "minLength": 1,
      +  "type": "string"
      +}
    • addedInput schema / properties / organization
      Added value: +{
      +  "description": "RawTree organization containing the target cluster.",
      +  "minLength": 1,
      +  "type": "string"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "table",
      -  "confirm"
      -]New value: +[
      +  "table"
      +]
  2. First observedv0.1.0

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the destructiveHint=true annotation, the description adds critical operator context: an admin key is required, the action cannot be undone, and the agent MUST confirm the exact table name with the user first. These are meaningful behavioral disclosures not present in the annotations or schema.

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?

Bold headers (Purpose/NOT for/Returns/Safety) front-load the identity, the exclusions, and the safety constraint in four tight lines with no filler. Every section carries actionable content.

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

Completeness5/5

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

For a destructive single-target operation with no output schema, the definition covers purpose, disambiguation, return confirmation, auth requirement, irreversibility, and the pre-call confirmation step. Nothing an agent needs to invoke it safely is missing.

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?

Schema description coverage is 100%, so all four parameters are already documented. The description only reinforces the 'exact table name' requirement already implied by the schema, adding no new syntax or format detail, so the baseline 3 applies.

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?

States a specific verb and resource ('Permanently delete a RawTree table and its data'), clearly distinguishing it from siblings like create-table, delete-database, and run-query. The scope ('the whole table') makes the target unambiguous.

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

Usage Guidelines5/5

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

The 'NOT for' section gives explicit exclusions ('Clearing a query result or undoing a single insert'), telling the agent when this tool is the wrong choice. This is exactly the when-not guidance the dimension rewards.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.