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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered and the description needn't restate it. The description adds real context beyond annotations: the cardinality difference between business and personal accounts and how the returned identifier feeds other tools. It does not describe pagination or the shape of each workspace entry, which keeps it just short of a 5.

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, zero waste, and the core action is front-loaded before the usage advice. Every clause carries information: cardinality, the filtering use case, and the team-vs-personal distinction.

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, read-only list tool with no output schema, the description covers purpose, cardinality, and downstream use sufficiently to call it correctly. The only minor gap is that the fields of each returned workspace entry (e.g. id and name) are not stated, which matters slightly more because there is no output schema to fall back on.

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 schema has nothing to explain and the baseline is 4. The description correctly adds no parameter prose, and arguably adds the meaningful semantic note that no filtering is applied at this stage — the workspaceId it yields is what filters other calls.

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?

"List the account's workspaces" states a specific verb and resource, and the parenthetical ("business accounts hold several; personal accounts have one") tells the agent what the result set looks like. It is clearly distinguishable from sibling list tools such as list_monitors and list_labels.

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?

Explicitly names two downstream uses: obtaining a workspaceId to filter list_monitors, and targeting a team workspace when calling create_monitor instead of the key owner's personal one. Both the when and the alternatives are spelled out, and the exclusion (personal vs team workspace) is explicit.

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