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

Annotations already establish read-only, non-destructive, closed-world behavior. The description adds a useful trust-boundary note that submitted text is untrusted data, but it does not explain pagination behavior, result shape, or other operational traits.

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?

Two sentences, both front-loaded and free of repetition. The purpose is stated first, and the security note is compact and relevant.

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 low-complexity list tool with annotations covering safety, the description is directionally complete about what is listed. However, with no output schema and undocumented pagination parameters, it omits how results are bounded or traversed.

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 schema has two parameters, limit and cursor, with 0% description coverage, and the tool description adds no meaning about either parameter. It does not explain defaults, range behavior, or pagination semantics, so it fails to compensate for the schema gap.

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 names a specific operation and resource: discovering public project workspaces, including lifecycle states. It is clear enough to distinguish from singular detail tools like get_project_workspace, though it does not explicitly route away from other list siblings such as list_public_messages.

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?

It implies when the tool is useful by saying it discovers public project workspaces, but provides no explicit when-to-use/when-not-to-use guidance and does not name alternatives among the sibling tools.

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