generate_json_schema

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

With no annotations provided, the description carries the full burden and succeeds admirably. It discloses that the schema is not runtime-validated by the core library (unlike Xml.xsd), explains the technical reason (.NET has no built-in JSON Schema equivalent), and clarifies that it is bundled in the MCP tool purely to hand back on request. This gives the agent an accurate mental model of the tool's limitations without opening any code.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core purpose in the first sentence, followed by valuable context about the intended audience and a technical caveat. It's somewhat long, but every sentence earns its place; there is no filler or repetition.

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

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

For a 0-parameter tool with no annotations and no output schema, the description is fully complete. It covers what the tool returns, who it is for, why the schema is bundled in the MCP tool rather than the core library, and hints at the alternative (using generate_json examples). An agent has everything it needs to decide when and why to call this.

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

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

The tool has 0 parameters, so the schema itself is trivial (empty properties object). The baseline for 0 params is 4, and the description adds relevant context about what is returned, though it doesn't need to explain any parameter behavior since there are none.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Returns'), a precise resource ('raw JSON Schema (Json.schema.json)'), and explicitly identifies what it conforms to (generate_json's output and create_workbook_from_json's input). It also differentiates from siblings by referencing the alternative (generate_json example) and the Xml.xsd contrast.

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

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

States exactly when to use this tool: for a caller authoring JSON by hand or via a generation script who wants schema validation/autocomplete, rather than reverse-engineering from a generate_json example. This effectively routes the agent to the right tool for the right context.

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