validate_collection_schema

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

Annotations already declare readOnlyHint=true, and the description adds no behavioral context beyond the generic verb 'Validate.' It does not explain what the validation checks, how strict mode changes behavior, whether it returns a report or throws errors, or what side effects (if any) could occur. The description does not contradict the annotations, but it also does not enrich them.

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 a single compact sentence with no filler words. The main action and target are front-loaded, and the additional 'and relationships' scope is expressed efficiently without redundancy.

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 no output schema, the description is incomplete: it does not explain what a validation result looks like, how strict affects the outcome, or what kinds of schema/relationship problems are detected. The sibling context shows many related analysis and validation tools, but this description gives no hints about its specific niche or return behavior.

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 100%, so the input schema already explains both parameters: 'collection' is a collection name and 'strict' enables strict validation. The description's reference to 'relationships' adds a small amount of scope context, but it does not meaningfully deepen understanding of either parameter's semantics.

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 uses a specific verb ('Validate') and names the resource ('collection schema and relationships'), making the tool's core purpose clear. However, it does not distinguish this tool from closely related siblings such as analyze_collection_schema, analyze_relationships, or validate_collection_creation, so an agent could struggle to pick the right one based on the description alone.

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?

The description provides no guidance on when to use this tool versus alternatives like analyze_collection_schema or validate_collection_creation. There are no conditions, exclusions, or hints about which scenarios call for this specific validation tool rather than another sibling.

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