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

The description goes well beyond the annotations by explaining that the server validates the schema, makes colliding names unique, drops unknown keywords rather than rejecting them, and returns ignored_keywords and applied_repairs. It also clarifies that there is no LLM call or generation charge. No contradiction with annotations.

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?

The description is dense but every sentence earns its place: purpose, prerequisite, schema format, validation behavior, return diagnostics, and routing to alternatives are all covered without filler. The most decision-relevant facts are front-loaded.

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 tool with four parameters and a nested object, the description covers prerequisites, validation behavior, return information, and points to a reference doc for a minimal example and supported annotations. An output schema exists, so the return shape does not need to be fully spelled out here.

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?

Schema description coverage is 75%, so the schema already documents name, tags, and is_pinned. The description adds substantial meaning for schema_content by specifying the JSON Schema 2020-12 dialect, supported sections, projection rules, and the behavior for unknown keywords. This compensates well for the nested object's complexity.

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 opens with a specific verb and resource: 'Save a directly authored schema and return its ID and link.' It also differentiates from siblings by naming create_schema_from_sample and update_schema as alternative operations, so an agent can tell exactly what this tool is for.

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?

It explicitly provides when-to-use guidance and alternatives: 'Use create_schema_from_sample to derive a schema from data, or update_schema for an existing schema.' It also states a prerequisite ('Requires editor'), which helps the agent decide whether it can invoke the tool.

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