create_knowledge_base

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. The description only states when to call the tool, not what it actually does in terms of side effects, potential failures, or requirements (e.g., whether it creates an empty knowledge base, if duplicate names cause errors, or if permissions are needed). For a mutation tool, this is insufficient.

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, directly stated sentence with no wasted words, making it very concise. It is front-loaded with the key trigger. However, it is under-specified for the tool's complexity, though conciseness itself is a strength.

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 tool has simple inputs and no output schema, but the description omits critical behavioral context such as what happens when the knowledge base is created, any constraints, or error conditions. An agent would know when to call it but not fully understand the outcome or potential issues, making it incomplete for confident invocation.

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% — both parameters have descriptive names and descriptions in the schema (knowledgebase_name and knowledgebase_description). The description adds no additional parameter semantics, so the baseline score of 3 applies as the schema does the heavy lifting.

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 identifies the action (create) and the resource (project/domain knowledge base), and the trigger ('when user requests') distinguishes it from sibling tools like remove_knowledge_base or add_kb_document. However, it doesn't explicitly state what creating a knowledge base entails, such as initializing a container for documents.

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 a clear usage trigger: 'when the user requests to create a project/domain knowledge base.' This tells the agent exactly when to invoke the tool. It does not explicitly mention alternatives or when not to use it, but the trigger is specific enough to guide selection among sibling tools.

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