connect_to_jupyter

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

The annotations set destructiveHint=true, but the description describes only connecting without any mention of destructive behavior or side effects, failing to add context about what gets destroyed or why the hint is set.

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 with a clear structure: first sentence states purpose, second outlines use cases, third gives examples. It avoids fluff but could be slightly tighter.

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 purpose, usage scenarios, and examples. With an output schema present, return values are not needed. However, it neglects to clarify the destructive hint, leaving a gap in behavioral context.

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 coverage is 100%, so baseline is 3. The description adds minimal extra meaning beyond the schema, like connecting without a token for no authentication, but does not significantly enhance parameter understanding.

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 tool connects to a Jupyter server with URL and token, distinguishing it from sibling tools that operate on notebooks or files.

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 explicitly lists scenarios for use, such as multiple servers, dynamic tokens, and switching instances, with examples. It lacks explicit when-not-to-use but provides clear context.

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