get_colab_connection_info

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

No annotations are provided, so the description carries the full behavioral burden. It discloses that the operation is a read-only retrieval of connection information and lists the exact returned artifacts (token, port, URL). It does not warn about the sensitivity of the connection token, which would have been a useful addition, but the behavior is clearly described.

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 focused sentence that front-loads what the tool returns and immediately states the use case. Every part of the sentence earns its place, and there is no filler or redundant restatement of the tool name.

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 no-parameter tool with an output schema and clear sibling context, the description is fully sufficient. It tells the agent what to expect, when to use it, and how it differs from the browser-based sibling tool. No critical operational detail is missing.

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 zero parameters and 100% schema description coverage, so there is nothing additional for the description to explain about parameters. The baseline for a zero-parameter tool is 4, and the description adds no irrelevant parameter detail.

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 states a specific verb ('Returns') and resource ('this server's connection token, port and a ready-to-use connect URL'), and clearly scopes the use case to manually connecting a Colab notebook when browser access is not possible. This sufficiently distinguishes it from sibling tools like open_colab_browser_connection and reconnect_colab_session.

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 gives a clear condition for use: 'when opening a browser directly is not possible.' It implies the tool is for manual connection rather than automated browser-based opening, but it does not explicitly name sibling tools or state when to avoid using it.

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