colab_read_file

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

With no annotations, the description must carry behavioral disclosure. It makes clear the operation is a read and scopes it to the sandboxed workspace, but it does not address what happens for binary files, missing paths, or whether session_id changes behavior. This is acceptable but not fully transparent.

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 two short sentences, front-loads the primary action, and includes a concrete example. Every sentence adds value with no redundancy.

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 simple two-parameter read tool, the core behavior is described, but session_id is unexplained and there is no mention of return contents beyond the word 'contents.' Given no annotations and no output schema, the description is minimally adequate but has clear gaps.

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 description explains the path parameter well ('Path is relative to the runtime's sandboxed workspace (e.g. /content/mcp_workspace)'), which the schema does not. However, session_id is left entirely undocumented, and with 0% schema coverage the description needs to compensate more than it does.

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 action ('Read a text file's contents') and the resource ('runtime's sandboxed workspace'), with a concrete path example. This clearly differentiates it from sibling file tools like write, upload, download, and list.

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 purpose implies when to use it — when file contents are needed — but it does not explicitly state when not to use it or mention alternative tools such as colab_download_file. The guidance is adequate but relies on inference from the verb 'read.'

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