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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds real behavioral context beyond that: the event scope is account-wide, results are paged with a default of 100 per page, and the underlying endpoint is GET /v1/analytics. It stops short of describing sort order or what a page boundary looks like.

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 compact sentences: scope and event types first, then filtering and paging, then the endpoint. No filler, no repetition, and the most decision-relevant fact (account-wide) is front-loaded.

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?

Six optional parameters, no required ones, and no output schema, so the description carries some return-value burden. It covers paging, page size, and event scope adequately, though it does not characterize the fields within an analytics event record, which an agent composing a follow-up call might want.

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%, so every parameter (page, page_size, start_date, end_date, group_id, department_id) is already documented in the schema. The description restates the date-range/group/department filters and the page size default but adds no format or edge-case detail beyond the schema. Baseline 3 applies when the schema does the heavy lifting.

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 ('credential analytics events') and scopes it as account-wide, with concrete examples of event types (views, shares, downloads). It implicitly distinguishes itself from the credential-scoped sibling accredible_get_credential_analytics via 'Account-wide', but never names that alternative explicitly.

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?

'Optionally for a date range, group or department' tells the agent what filtering is possible, which implies when the tool applies. There is no statement of when to prefer this over accredible_get_credential_analytics or accredible_get_data_export, and no prerequisites or exclusions.

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