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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds value beyond that by describing the shape of the returned data (unit, latest reading, bound-decision count). It omits pagination/result-size behavior, hence 4 rather than 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 tight sentences: the first delivers the content/return summary, the second delivers the usage trigger. Zero filler and front-loaded with the most useful 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?

No output schema exists, so the description appropriately compensates by naming the returned fields. With one optional, fully documented parameter and covered annotations, the definition is essentially complete; only pagination/ordering behavior is unstated.

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?

Schema description coverage is 100% and the single 'workspace' parameter is thoroughly documented in the schema (default workspace, personal tokens, API-key behavior). The description adds no parameter-level detail, so the baseline 3 applies.

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 frames the tool as listing 'the numbers the workspace watches,' which together with the title ('List the workspace's Ledger metrics') gives a clear verb+resource. It also enumerates the returned fields (unit, latest reading, open decision count). It does not explicitly distinguish itself from ledger_metrics_get, so it stops short of a 5.

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?

Gives concrete triggers – 'when a user mentions a number that sounds like a tracked metric' and 'before recording a reading' – which effectively routes the agent toward ledger_metrics_record_reading as the follow-up action. No explicit exclusions or named alternatives, so not a 5.

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