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 describes the tool's proactive, intelligent behavior and general use cases, but lacks details on how notifications are sent (e.g., format, channels), what 'appropriate' means, or any constraints like rate limits or authentication needs. The description adds some behavioral context but leaves key operational aspects 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?

The description is appropriately sized and front-loaded, starting with the core purpose. Both sentences earn their place: the first defines the tool, and the second provides usage guidance. However, the all-caps 'SMART AUTO-NOTIFICATION' is slightly verbose, and the structure could be tighter by integrating the usage examples more seamlessly.

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?

Given the complexity (6 parameters, no annotations, no output schema), the description is moderately complete. It covers purpose and usage well but lacks details on behavioral traits, output format, or how parameters interact. For a tool with multiple siblings and no structured safety hints, more context on when to choose this over specific tools would enhance completeness.

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 schema already documents all 6 parameters. The description doesn't add any parameter-specific semantics beyond what's in the schema (e.g., it doesn't explain how 'context' relates to 'todos_completed' or 'error_occurred'). With high schema coverage, the baseline is 3, and the description doesn't compensate with additional insights.

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 clearly states the tool's purpose: 'Intelligently analyze context and automatically send appropriate notifications.' It specifies the verb ('analyze' and 'send') and resource ('notifications'), and distinguishes it from siblings by calling it the 'primary notification tool.' However, it doesn't fully differentiate the 'smart auto-notification' mechanism from the more specific sibling tools.

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 provides explicit usage guidelines: 'Claude should use this proactively for: task completion detection, error analysis, user action evaluation, progress updates.' It also states 'This is the primary notification tool - use it frequently to keep users informed,' which clearly positions it against the more specific sibling tools (send_error_notification, send_task_complete_notification, send_user_action_needed_notification).

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 effectively describes key behavioral traits: the tool triggers automatically ('AUTOMATICALLY'), includes an auditory component ('error sound'), and is proactive ('Claude must proactively use this'). However, it doesn't mention potential side effects like rate limits, permissions needed, or whether notifications are logged or displayed in a specific interface.

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 appropriately sized and front-loaded, with the core purpose stated first. However, the list of failure scenarios could be slightly more concise, and the final sentence ('Critical for error awareness - always notify on failures.') reiterates rather than adds new information, slightly reducing efficiency.

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?

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is largely complete. It covers purpose, usage guidelines, and behavioral context well. The main gap is the lack of output information (since no output schema exists), but for a notification tool, the description's focus on triggering behavior is sufficient for most agent needs.

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 schema already documents both parameters ('error' and 'details') with their types and constraints. The description doesn't add any parameter-specific information beyond what's in the schema, such as formatting examples or semantic nuances. The baseline of 3 is appropriate 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?

The description clearly states the tool's purpose: 'AUTOMATICALLY send error notifications with error sound when anything fails.' It specifies the verb ('send'), resource ('error notifications'), and includes the distinctive feature of an 'error sound.' It distinguishes from siblings by focusing specifically on error scenarios rather than task completion or user action notifications.

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 provides explicit, comprehensive guidance on when to use this tool: 'Claude must proactively use this when: compilation fails, tests fail, file operations fail, network requests fail, validation errors occur, bash commands fail.' It includes a clear directive ('always notify on failures') and distinguishes from siblings by specifying error contexts rather than success or user-interaction scenarios.

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 full burden. It discloses the tool's proactive/automatic nature ('AUTOMATICALLY send', 'Claude should proactively use') which is valuable behavioral context. However, it doesn't mention delivery method, permissions needed, rate limits, or what happens if the notification fails - significant gaps for a notification tool.

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 appropriately sized and front-loaded with the core purpose. Every sentence adds value: first states purpose, second provides usage examples, third gives UX rationale. However, the second sentence is somewhat long with multiple examples, slightly reducing readability.

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 notification tool with no annotations and no output schema, the description provides good purpose and usage context but lacks important behavioral details. It doesn't explain what 'success notifications' look like, where they're sent, or what the tool returns. The examples help but don't fully compensate for missing structural information.

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 schema already documents both parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. It implies the 'task' parameter should describe significant completions, but this is already covered by the schema's description field.

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 clearly states the tool's purpose with specific verbs ('send success notifications') and resources ('when any significant task completes successfully'). It distinguishes from siblings by focusing on success notifications rather than errors or user actions, and provides concrete examples (builds, tests, file operations) that clarify scope.

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 provides explicit usage guidelines: 'Claude should proactively use this for' lists specific scenarios (builds finishing, tests passing, etc.), and 'Always notify users of completion for better UX' gives a clear when-to-use principle. It implicitly distinguishes from siblings by focusing on success scenarios rather than errors or user actions.

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 effectively describes the tool's proactive, urgent nature and UX importance, but lacks details on delivery mechanism (e.g., how notifications appear), user response handling, or potential side effects. The description doesn't contradict annotations (none exist), but could provide more operational context.

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 appropriately sized and front-loaded, starting with the core purpose and immediately following with usage guidelines. Every sentence adds value, though the final sentence about UX could be integrated more seamlessly. It avoids redundancy and maintains a clear, directive tone throughout.

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 notification tool with no annotations and no output schema, the description provides strong context about when and why to use it, supported by concrete examples. It covers the tool's proactive nature and urgency well, though could benefit from more detail about notification behavior or response handling to be fully 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 100%, providing good documentation for all parameters. The description doesn't add specific parameter semantics beyond what's in the schema, but contextually reinforces the purpose of 'action_needed' and 'urgency' through examples. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't significantly enhance parameter understanding.

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 clearly states the tool's purpose with specific verbs ('send urgent notifications') and resources ('when user input, decision, or immediate attention is required'), distinguishing it from siblings by emphasizing urgency and proactive use for user-blocking scenarios. It explicitly mentions use cases like file conflicts and permission requests, making the purpose highly specific.

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 provides explicit guidance on when to use this tool ('proactively use this for: file conflicts, permission requests, critical errors requiring user choice, or when waiting for user response before proceeding') and why ('Essential for good UX - notify users immediately when blocked'). It implicitly distinguishes from siblings by focusing on urgent, action-required scenarios rather than general notifications or errors.

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