SingleStore Notebook

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

Annotations only supply readOnlyHint=true, and the description adds real behavioral context: Python cells get pandas, matplotlib and a `conn` connection, SQL results become DataFrames, and the result carries a `browser_url` that should be posted as a clickable link. It does not explain session lifetime, kernel startup side effects, or persistence behavior.

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?

Efficient and front-loaded, opening with the verb+resource before elaborating on execution semantics. The middle paragraph is slightly dense but each sentence carries information the agent needs; nothing is pure filler.

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?

No output schema exists, yet the description discloses the key return artifact (browser_url) and how to use it, and it covers both zero-required parameters. Minor gap: it doesn't clarify what happens to an existing notebook vs. a new one, or the relationship to the kernel-control siblings.

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 0%, so the description carries the full burden, and it does: `name` is a notebook file with an example ('sales.ipynb') plus the omit-to-create semantics, and `database` is scoped to SQL cells and flagged case-sensitive. That is meaningfully more than the bare anyOf string schema provides.

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?

States a specific verb and resource ('Open a SingleStore notebook') and explains what the resource is: SQL and Python cells on a Jupyter kernel, stored as .ipynb in the user's SQL folder. It even names an equivalence with a sibling ('the Notebook view ... sql_editor with view="notebook"'), though it never differentiates itself from the very similar notebook_open/notebook_run siblings.

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?

Usage context is implied rather than stated: the args section gives 'omit for a new notebook' for name, which tells the agent how to trigger new-notebook creation, and the browser_url instruction implies a UI-flow. But there is no explicit when-to-use / when-not-to-use versus notebook_open, notebook_run or sql_editor.

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