create_knowledge_database

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

With no annotations, the description must fully disclose behavior. It explains the creation process and layer constraints but does not mention idempotency, overwrite behavior, or error handling for duplicate slugs. Adequate but not comprehensive.

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 concise and well-structured: a brief purpose statement, a step-by-step usage note, and a clear parameter list. Every sentence adds value 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?

The description covers creation steps and parameter details. An output schema exists, so return values are not needed. However, it does not mention success/failure signals or what the tool returns, leaving slight ambiguity.

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 0%, but the description fully compensates by detailing each parameter: slug (URL-safe identifier), name (human-readable), description (coverage), layer (custom vs built-in), and folders (list of subfolder paths). Examples further clarify usage.

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 clearly states the action: 'Register a new custom knowledge database layer.' It uses a specific verb and resource, and it differs from sibling tools like build_pdf_knowledge_db (indexing) and list_knowledge_databases (listing).

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?

Explicit steps are provided: after creating, add PDFs and call build_pdf_knowledge_db. It also explains layer numbering (4+ for custom, 1-3 for built-ins), guiding appropriate usage. However, it lacks explicit when-not-to-use scenarios.

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