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open-lzt

lzt-dev-mcp

by open-lzt

get_model_schema

Retrieve the JSON Schema of any response model by its name to understand its structure, required fields, and data types before making API calls or building integrations.

Instructions

Get a response model's JSON Schema by name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full burden for behavioral disclosure. It implies a read-only operation but provides no details on authorization, side effects, or rate limits. It is adequate but not informative beyond basic purpose.

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?

The description is a single, well-structured sentence. It is concise, front-loaded, and contains no extraneous information. Every word serves a purpose.

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?

Given the tool's low complexity and presence of an output schema, the description provides basic completeness. However, it omits context about when to prefer this over get_method_schema and lacks details on parameter meaning, leaving some gaps for an agent.

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%, so the description must compensate. It mentions 'by name' implying model_name is the name, but does not specify allowed values, constraints, or examples. Minimal added value beyond the schema.

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 verb 'Get', the resource 'response model's JSON Schema', and the method 'by name'. It succinctly captures the tool's function and differentiates it from sibling tools like get_method_schema.

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 tool versus alternatives such as get_method_schema. The description lacks any usage context or exclusion criteria, which is important given the list of sibling tools.

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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