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Get schema

get_schema
Read-only

Returns the current schema of a project as SQL for its database engine (default) or as JillionDB JSON.

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": {
      "project_id": "<project_id>"
    },
    "name": "get_schema"
  }
}

Input Schema

NameRequiredDescriptionDefault
formatNo
dialectNoDatabase engine. Defaults to the project’s own.
project_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, so the safety profile is covered. The description usefully adds that SQL for the project's own engine is the default and that a JillionDB JSON representation is an alternative, but says nothing about output size, permissions, or whether an empty project yields an empty result.

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?

A single front-loaded sentence with no filler; the default behavior is stated before the alternative. It could be tightened slightly by making explicit that the dialect parameter is only meaningful for SQL output.

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?

With no output schema, the description carries some of the burden and does indicate the return is SQL text or JSON, but it does not characterize the JSON structure or whether the result is a single string. For a simple read-only, three-parameter tool this is adequate but leaves a gap an agent may care about.

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 coverage is only 33% — only `dialect` is documented in the schema. The description partially compensates by explaining that the default output is SQL for the project's engine and that JSON is an alternate format, which gives meaning to the undocumented `format` enum, but `project_id` and the interaction between `format` and `dialect` (dialect presumably only applies to SQL output) remain unaddressed.

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 (Returns) plus a precise resource (the current schema of a project) and names both output shapes. No sibling tool in the listed set deals with schema, so there is no realistic confusion, though the description never explicitly contrasts itself with them.

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer it fetches a project's existing schema, but there is no statement of when to call this versus proposing a change or listing projects, and no prerequisites such as requiring a valid project_id.

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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