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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description's job is to add context, which it does: it discloses the access scope, the returned fields (uid, name, plan, role, url), and the pro/trial plan requirement for dependent tools. No contradiction with annotations.

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 dense sentences each earn their place: the core action, the when-to-call rule, and the return shape plus plan constraint. No filler, no repetition of schema data, and the most important guidance is front-loaded.

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 zero-parameter discovery tool with no output schema, this description is complete: it tells the agent what the tool does, when to call it, what data comes back, and why that data matters (pro/trial plan dependency). Annotations cover the safety profile, so nothing essential 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 tool has zero parameters and the schema already covers everything (100% coverage), so the baseline is 4. The description adds no parameter semantics because there are none, but it compensates by documenting what the returned value contains, which is what the agent actually needs to interpret the tool's output.

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 uses a specific verb ('List') and resource ('every workspace and project the token's user can access'), and immediately states the operational purpose: resolving the project uid that most other tools require. It clearly distinguishes itself from the many list_* siblings by emphasizing the workspace-plus-project scope and access boundaries.

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 gives an explicit trigger condition: 'Call this first whenever no project uid is known' and a practical anti-pattern ('never ask the user to paste one'). It does not explicitly name alternatives or when-not conditions, but for a discovery tool this is sufficient and no obvious alternative exists among the siblings.

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