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

Annotations already declare readOnlyHint=true and openWorldHint=false, and the description adds real behavioral context beyond that: output varies by auth mode (interactive OAuth vs API key), workspaces are grouped by org when multiple orgs exist, and an unjoined user yields 'none'. This is meaningful disclosure for a read tool, though it omits rate limits or pagination behavior.

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?

Front-loads the core purpose, then layers the auth-mode and edge-case nuances in a logical order. It is on the long side for a zero-parameter tool and the example call with empty arguments is somewhat redundant, but nearly every sentence carries distinct behavioral 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?

With an output schema present the description need not explain return values, yet it still sketches the response shape and the conditions that alter it, and annotations cover the safety profile. Nothing needed to invoke or interpret this zero-parameter read tool 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 takes zero parameters, so the stated baseline of 4 applies; there are no parameters whose semantics could be clarified further. The description's empty-arguments example correctly reinforces that no input is required.

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?

States a specific verb and resource ('Get your own identity and access context') and enumerates exactly what is returned (user, orgs with roles, accessible workspaces). The self-scoping implicitly separates it from list_users and list_workspaces, but no sibling is named explicitly, so it falls short of full differentiation.

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?

Usage is implied — this is the tool to discover your own identity and permission scope — and it usefully explains auth-dependent behavior (OAuth spans all orgs; API key reports only its bound workspace). However, it never says when to prefer this over list_users / list_workspaces or what prerequisites exist, leaving routing to inference.

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