Kleap

Get Database Schema

get_database_schema

Read-only

The app's Kleap Database (Postgres): its tables, row counts and columns. Call it before reading or writing rows. provisioned:false means the app has no database yet — create one with modify_app (describe the data to store).

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": {
      "app_id": "<app_id>",
      "context": "<context>"
    },
    "name": "get_database_schema"
  }
}

Input Schema

Name	Required	Description	Default
`app_id`	Yes	The app id
`context`	Yes	Why this call, in one short sentence. Used to improve the connector; never include credentials or personal data.

Output Schema

Name	Required	Description	Default
`app_id`	No
`tables`	No
`provisioned`	No

Schema Changelog

Changes observed during successful MCP inspections.

AddedSep 25, 2026

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds no contradiction. It adds valuable context about the meaning of provisioned:false and the action to take if no database exists, which goes beyond the annotations.

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 concise sentences that front-load the tool's purpose and then provide essential usage guidance. No wasted words, well-structured.

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?

The description covers what the tool returns (tables, row counts, columns), when to call it, and the edge case for a missing database. With an output schema present, the information is sufficient for an agent to invoke it correctly.

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 both app_id and context are already well documented. The description adds no additional parameter-specific information, so the baseline of 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?

The description clearly states the tool retrieves the app's Kleap Database schema including tables, row counts, and columns. It uses a specific verb and resource, and the context distinguishes it from sibling tools like query_database_rows or insert_database_rows.

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 description explicitly instructs to call before reading or writing rows, and explains the provisioning edge case (provisioned:false) with a direct pointer to modify_app. This gives clear when-to-use and when-not-to-use guidance.

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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