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Get a type's JSON Schema

get_schema
Read-onlyIdempotent

Return the JSON Schema every entry of a type conforms to. Use it to validate generated configs or to build a submission.

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

Input Schema

NameRequiredDescriptionDefault
typeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is clear. The description adds the validation/submission use case but does not describe return structure or behavior for invalid inputs beyond what the enum provides.

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 sentences with no waste, and the core purpose is stated first. Every sentence adds useful information about what is returned and why to use it.

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

Completeness4/5

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

For a simple read-only schema retrieval tool with one enum parameter and no output schema, the description sufficiently explains what is returned and its intended use. The main gap is lack of detail about the enum categories, but the schema itself lists the allowed values.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the 'type' enum values or what each type category represents. It only implies that the parameter selects a schema for entries of that type, so it does not compensate for the low schema coverage.

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?

The description uses a specific verb and resource: 'Return the JSON Schema every entry of a type conforms to.' This clearly distinguishes schema retrieval from entry retrieval, though it does not explicitly name sibling tools like get_entry or search_entries.

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

Usage Guidelines4/5

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

It provides clear usage context: 'Use it to validate generated configs or to build a submission.' This tells the agent when the tool is appropriate, but gives no explicit exclusions or alternatives.

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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