notebook_read_metadata

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

The description indicates read-only behavior, which is transparent, but lacks details on error handling, idempotency, or return value structure. Given no annotations, it provides basic but not comprehensive behavioral context.

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 (one sentence plus an Args list), front-loaded, and every part adds value. No unnecessary words.

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 the core purpose and parameter semantics, but does not address error conditions (e.g., file not found, invalid notebook) or result structure. An output schema exists, mitigating return format concerns, but error handling is missing. For a simple read tool, it is adequate but not fully complete.

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 schema provides only type and required for the single parameter. The description adds clear meaning: 'Path to the .ipynb file, relative to the workspace root.' This compensates fully for the missing schema descriptions.

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 verb 'Read' and the resource 'top-level notebook metadata' with examples (kernelspec, language_info). This distinguishes it from sibling tools like notebook_edit_metadata (write) and notebook_read_cell (read cell content).

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 explicit guidance on when to use this tool versus its siblings, nor does it mention prerequisites or context. Usage is implicitly clear from the name, but no direct advice is given.

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