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

With no annotations, the description carries the full behavioral burden. It usefully discloses that results are public-only and exclude drafts, and it gives pagination default and maximum for limit. It does not describe ordering, authentication needs, total counts, or what happens with out-of-range offset values.

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?

Three short sentences, front-loaded with the core purpose, then scope and pagination details. There is no wasted text; every sentence adds useful information.

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?

There is no output schema and no annotations, so the description must cover return shape and safety context. It does list the returned fields and note public-only/no-drafts scoping, which is adequate for a simple list tool. Missing ordering and auth details are minor for this complexity level.

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 description coverage is 0%, so the description must compensate. It names offset/limit and explains the default and max for limit, but it only implies offset semantics as pagination and does not describe offset behavior beyond the name. The schema already contains default/min/max constraints, so the description adds only moderate meaning.

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 and resource: "List public Code Lab works." It also names the returned fields (IDs, titles, authors, dates) and scopes the result set with "No drafts." It is clearly a list operation, though it does not explicitly distinguish itself from codelab_read or codelab_tip.

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 implies when to use the tool by saying it lists public works and excludes drafts, which is useful scoping. However, it does not explicitly say when to use codelab_list versus codelab_read, nor does it mention prerequisites or exclusions beyond drafts.

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