jupyter_list_sessions

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

No annotations are provided, so the description must fully describe behavior. It only notes authentication requirements but not that the operation is read-only, what the output contains (likely a list), or side effects. For a zero-annotation tool, more detail is needed.

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 sentence with no redundant words. It is very concise. However, it could include more information without becoming verbose, so it is efficient but not maximally informative.

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 parameters and an output schema, the description is minimally adequate. It gives the resource and prerequisites. But it lacks details about when to use it (e.g., session management workflow) and what the output format is. Given the output schema exists, the return type is covered, but overall completeness is average.

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 input schema has no parameters (100% coverage). The description adds value by specifying that the tool requires JUPYTER_BASE_URL and optionally JUPYTER_TOKEN, which are external configuration details. This context is not in the schema, so it helps an agent understand prerequisites.

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's function: 'List Jupyter Server sessions'. The verb 'list' and resource 'sessions' are specific, and the tool clearly differs from siblings like jupyter_execute (execution) or jupyter_get_kernel (kernel inspection). No ambiguity.

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?

No guidance on when to use this tool versus alternatives. It mentions requirements (JUPYTER_BASE_URL) but does not specify context (e.g., 'Use when you need to see active sessions' or comparisons to sibling tools).

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