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

With readOnlyHint=true and destructiveHint=false already in annotations, the description's job is to add non-safety behavior, and it does add one: results are 'aggregated' rather than raw records. However, it does not disclose how the aggregation behaves with omitted days, what the output shape is, or what the default scope semantics are when project_id is omitted. This is a net some value beyond the annotations, but not a rich behavioral profile.

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?

The description is a single tightly packed sentence with no filler or repetition; the core scope is front-loaded. It earns a high mark for compactness. Small deduction because it's a noun phrase rather than a complete actionable sentence, and the time-window context is absent.

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 tool with two optional parameters and read-only annotations, the description is close to sufficient: it defines the output area ('aggregated analytics') and supports an optional project scoping. The primary gap is that neither the schema nor the description clarifies the days parameter's purpose or the default behavior, and there is no indication of the return shape (no output schema exists). The description could be stronger without needing length.

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 0%, so the description carries the full burden for parameter semantics. It does hint at project_id via 'optionally one project,' which is useful. But the days parameter is entirely unexplained in both the schema and description, even though its min/max (1–365) suggests a time window that the agent would otherwise have to guess. With half the parameters undocumented, the description only partially compensates.

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 identifies a specific resource ('analytics') and its scope ('for the org, optionally one project'), which is distinct from the sibling tools' concerns (clients, projects, plans, templates, previews). It lacks an explicit verb in the sentence, though the name and title supply 'get'. This is clear enough, but it does not actively name siblings or contrast itself, so I do not give 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?

The description implies when to use the tool: for organization-level aggregate metrics, with project_id as an optional filter. It gives no guide on when not to use it or which sibling alternative to prefer for event-level data, a plain project retrieval (get_project), or a list of projects. Usage is implied through scope language rather than explicitly stated.

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