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

With no annotations provided, the description carries the full transparency burden. It discloses useful behavior: results are newest first, and omitting both start/end triggers the server-side default window. However, it does not mention pagination behavior, response shape, or access/permission considerations, leaving parts of the call behavior unspecified.

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 sentences with no filler. The purpose and key examples are front-loaded, followed by concise parameter guidance. Every sentence earns its place.

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 list operation with four optional parameters and full schema coverage, the core call semantics are covered: scope, ordering, and time-window defaults. However, there is no output schema and the description does not describe the response shape or how limit/offset pagination works, so an agent must infer some behavior.

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 100%, so the baseline is 3. The description reinforces that start/end bound the window and that omitting both selects the server-side default, but it does not add meaning beyond the schema's own parameter descriptions. Limit and offset are left entirely to the schema.

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 specific action ('List actions taken by administrators') and the resource scope (Island Management Console) with concrete examples such as policy changes and user/role changes. It is distinguishable from siblings like island_list_devices, though it does not explicitly contrast with island_list_audit_events.

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 gives operational direction for the time window ('Use start/end to bound the window; omit both...'), but it does not explain when to choose this tool over island_list_audit_events or other siblings. No alternatives or exclusions are mentioned, so when-to-use guidance is mostly implied.

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

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

With no annotations, the description carries the behavioral burden and does disclose meaningful traits: results are newest-first and the time window defaults server-side when both bounds are omitted. 'List' also implies a read-style operation. It doesn't cover auth or rate limits, but the disclosed behavior is sufficient for a read-only timeline query.

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 sentences with no filler: purpose and examples come first, followed by parameter guidance. Every clause earns its place.

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 four-optional-parameter list tool with richly described schema fields and no output schema, the description covers the key decision factors: event type, ordering, and time-window behavior. It could add explicit pagination context, but the schema already carries the limit/offset details.

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?

The schema already documents all four parameters at 100% coverage, so the baseline is 3. The description adds value by coupling start and end into a single window concept and clarifying the 'omit both' default, which is not fully explicit in the individual schema entries.

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 opens with a concrete verb and resource: 'List browser/session audit events from Island's timeline,' and adds concrete examples of event types plus the 'newest first' ordering. The event category sets it apart from sibling tools (admin actions, compromised credentials, devices) without requiring schema inspection.

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 gives explicit guidance for the time-window parameters: 'Use start/end to bound the window; omit both for Island's server-side default window.' It doesn't explicitly name sibling alternatives or state when not to use this tool, but the domain-specific wording provides clear context with no exclusions.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It transparently exposes a known limitation: offset pagination is unreliable in practice and should be treated as best-effort. It also discloses the detection mechanism and default window behavior, giving the agent realistic expectations beyond what the schema conveys.

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?

Three sentences, each purposeful: the first states the core action and ordering, the second explains the time-window parameters, and the third gives a critical caveat. No filler or redundancy; the most important warning is placed last but is clearly highlighted.

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 is quite complete: it covers purpose, input semantics, default behavior, and a known pitfall. It omits details about the return structure, but that is typically inferable from the tool name and 'list' action. The pagination warning is especially valuable for correct usage.

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?

Although schema coverage is 100% (each parameter already has a description), the description adds extra meaning: it explains that omitting start/end triggers a server-side default window, and it characterizes limit/offset as best-effort due to pagination issues. This goes beyond the schema's straightforward definitions.

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 specific verb ('List'), a distinct resource ('credentials... compromised'), and adds context (dark-web/breach-corpus matching) and ordering ('newest first'). This clearly distinguishes it from sibling tools that list other resource types like admin actions, audit events, or devices.

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 provides clear parameter-usage guidance: using start/end to bound the window and omitting both for the server-side default. However, it does not explicitly name alternatives or state when not to use this tool vs. siblings; the resource type makes that implicit, but exclusions are not articulated.

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

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

No annotations are provided, so the description carries the full burden. It discloses core behaviors: listing, optional time filtering, and sortability. It does not explicitly confirm read-only semantics, describe the response shape (there is no output schema), or address pagination defaults, leaving the safety profile and return expectations to inference.

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 tight sentences with the core action front-loaded, followed by filter and sort behaviors. No filler or redundancy; every clause earns its place.

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 list tool with zero required parameters and a fully self-documenting schema, the description plus schema cover the invocation surface well. The residual gaps — explicit sibling-selection guidance and expected return format — are minor for a resource-named list tool.

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 100% — every parameter has a description, defaults, and the one enum is fully specified — so the baseline is 3. The description's 'e.g. LastSeen' example only echoes what the schema already confirms about sort_by and adds no new parameter semantics.

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 opens with a specific verb and resource ('List devices running Island Browser under this account'), naming the account scope. The resource (devices) is clearly distinct from all three siblings (admin_actions, audit_events, compromised_credentials), so an agent can select this tool without opening schemas.

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 conveys usage context — devices under the current account, optional last_seen filter, sorting — which makes its purpose inferable. However, it never explicitly states when to prefer this over island_list_admin_actions, island_list_audit_events, or island_list_compromised_credentials, nor gives exclusions. The sibling resources are obviously different, making the gap mild but real.

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