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

With no annotations, the description carries the behavioral burden. It states what the tool returns and implies a safe, read-only contextual lookup by calling it a first step, though it does not explicitly say 'makes no changes'.

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 with no filler: the first names the output fields, the second gives usage guidance. Information is front-loaded and every sentence earns its place.

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 lookup tool with no required parameters and no output schema, the description covers the returned fields and gives a clear use case. The optional workspace behavior is already documented in the schema, so nothing necessary 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 input schema already fully documents the optional workspace parameter, including when to use it. The description's mention of workspace aligns with the schema but does not add new parameter-level meaning beyond it.

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 clearly identifies the tool as an identity/context lookup, listing the exact fields returned: email, workspace, domain, and prepaid balance. It distinguishes itself from the many sibling tools by framing itself as the first call for workspace orientation.

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 provides an explicit trigger: 'Call it first if you are not sure which workspace you are acting in.' It does not name exclusions or alternatives, but for a self-identification tool this is clear enough context.

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