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

With no annotations, the description carries the full behavioral burden and does well: it discloses that notes are authoritative overrides the merchant authored, that they are injected into every store-scoped response, and that direct calls are largely redundant. It stops short of stating access/permission scope or the return shape beyond the _storeNotes equivalence, so not quite 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?

Front-loaded with the core action, and the three quoted note examples earn their space by showing the agent what kind of content to expect. Slightly longer than strictly necessary for a two-parameter read, but no sentence is filler.

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 must cover returns; it does so by explaining that the payload matches the _storeNotes already seen in other responses, and pagination is handled by the schema's _offset description. Access scope and error behavior are unstated, which keeps it from a 5.

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 coverage is 100% and both parameters are documented in the schema, including the omit-to-get-all semantics and the _offset pagination contract. The description restates the 'or all stores if omitted' behavior but adds no syntax or format detail beyond the schema, 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?

States a specific verb and resource ('Return all merchant-attached LLM context notes for a store') plus the scope variant when the store argument is omitted. The examples of what notes contain make the resource concrete and distinguish it from data-bearing siblings like get_store_profile.

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 tells the agent when this call is unnecessary ('the same notes are auto-injected into every store-scoped tool response as _storeNotes') and the narrow condition that justifies calling it directly ('a session-opening question'). That is a genuine when-to-use/when-not-to-use rule, not an inference.

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