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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is clear. The description adds an auth-related note about the HGRApi Header channel and ChannelOAuthId being resolved internally, which is useful context beyond the annotations. It does not add other behavioral details such as rate limits or output characteristics, but the output schema and annotations reduce the burden.

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 two sentences and front-loads the main operation before the auth note. There is no filler or redundant explanation. The second sentence is somewhat awkwardly phrased, which slightly reduces clarity but not enough to call it verbose.

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?

This is a read-only dashboard metrics tool with an output schema, rich annotations, and a fully documented single parameter. The description provides the essential scope — one visible store — and an auth note, so an agent has enough to call it correctly. It could be stronger with explicit sibling routing, but it is complete for the tool's complexity.

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?

There is only one parameter, and the schema description coverage is 100%; the schema explains that channelOAuthId comes from hgr_list_channels for the selected visible store. The description adds little beyond repeating the ChannelOAuthId concept, and the phrase 'resolved internally' is ambiguous for a parameter that the schema marks as required. With the schema doing the heavy lifting, the baseline score of 3 is appropriate.

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 states a clear verb and resource: it reads AI Agent dashboard and maturity metrics. It also scopes the operation to one visible store, making the purpose understandable without opening the schema. It does not explicitly differentiate itself from nearby AI Agent tools such as hgr_get_ai_agent_configuration, which keeps it 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?

Usage is implied by 'reads AI Agent dashboard and maturity metrics for one visible store' — an agent can infer it should call this when dashboard or maturity data is needed. However, there is no explicit when-to-use guidance, no exclusions, and no named alternative for related AI Agent configuration or task data. That places it at implied usage rather than explicit routing guidance.

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