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

With no annotations, the description carries the full burden and largely succeeds: it discloses sort order, null verdict meaning while open, output fields, and the per_page cap of 100. It does not mention authentication, error behavior, or pagination mechanics beyond the limit.

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, front-loaded with the verb and resource. Each clause adds either scope, output fields, filter relationships, or a constraint, with no redundant wording.

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 list tool with no output schema and no annotations, the description covers result contents, ordering, the filter relationship to analytics, and the pagination limit. It omits per-parameter detail and auth/error context, but the sibling reference and clear field list make it largely complete.

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% and there are 8 parameters, so the description must compensate. It only explains per_page (max 100), search (free-text), and indirectly points to analytics for the other filters, leaving the semantics of the remaining parameters under-specified.

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?

Description uses a specific verb ('List') with a distinct resource ('individual website visits') and immediately states ordering and the returned data fields. This clearly differentiates it from analytics and single-session siblings.

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?

It references agent_detection_get_analytics to define the filter set and calls out free-text search as the distinguishing capability, giving useful context for choosing this tool. It does not explicitly state exclusions like 'use get_session for a single visit,' so it stops short of full guidance.

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