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

With no annotations provided, the description carries full burden. It reveals important behavioral constraints (date/time verification requirement, track existence checking prerequisite) and mentions user clarification fallback. However, it doesn't disclose what happens on success/failure, whether events can be modified/removed later, or any rate limits/authentication needs. For a 9-parameter mutation tool with no annotations, this leaves significant behavioral gaps.

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 well-structured with numbered IMPORTANT points. It's front-loaded with the core purpose, then provides critical usage guidelines. Every sentence serves a clear purpose, though the second sentence could be slightly more concise by combining the two verification steps.

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 high complexity (9 parameters, nested objects, no output schema, no annotations), the description provides strong usage guidance but lacks parameter explanations and behavioral details. The guidance for track verification and date/time checking is valuable, but without parameter semantics or output information, an agent would struggle to construct proper calls despite knowing when to use the 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 only 11% (just the metadata parameter has a description), so the description must compensate. However, the description provides NO information about any of the 9 parameters - it doesn't explain what trackName, eventName, prompt, scheduledTime, platform, agent, approvalVia, mcpTools, or metadata represent or how they should be used. This leaves most parameters semantically undefined.

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 action ('Add a scheduled event to a track') with specific resources (event, track). It distinguishes from siblings by focusing on adding events rather than tracks or listing/removing operations. However, it doesn't explicitly differentiate from 'timeline_update_scheduled_event' which could be confusing for similar update scenarios.

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 guidance with two numbered IMPORTANT instructions: 1) use terminal tool for date/time verification, and 2) ALWAYS use timeline_list_tracks first to check existing tracks. It specifies when to use existing tracks vs. create new ones, and includes fallback guidance ('ask the user for clarification'). This is comprehensive guidance for proper tool invocation.

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 for behavioral disclosure. While it mentions checking for duplicates, it doesn't disclose other important behavioral aspects like what happens on duplicate creation (error? override?), authentication requirements, rate limits, or what the tool returns. For a creation tool with zero annotation coverage, this leaves significant behavioral gaps.

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 perfectly concise with two sentences that each earn their place. The first sentence states the purpose, and the second provides essential usage guidance. No wasted words, well-structured, and front-loaded with the core purpose.

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 creation tool with no annotations and no output schema, the description provides good purpose and usage guidance but lacks behavioral context about what happens on success/failure, return values, or error conditions. It's adequate as a minimum viable description but has clear gaps given the tool's complexity and lack of structured metadata.

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 only 33% (only the 'order' parameter has a description), so the description needs to compensate but doesn't mention any parameters. The description adds no parameter semantics beyond what the schema provides, but the schema itself has reasonable coverage through enum values and constraints. Baseline 3 is appropriate given the schema does most of the work.

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 specific action ('Create a new track') and resource ('for organizing timeline events'), distinguishing it from sibling tools like timeline_list_tracks (which lists tracks) and timeline_remove_track (which removes tracks). It provides a complete purpose statement with both verb and target.

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 explicitly provides usage guidance by stating 'Check existing tracks with timeline_list_tracks first to avoid duplicates.' This names a specific alternative tool (timeline_list_tracks) and gives a clear when-to-use recommendation (check first to avoid duplicates), which is excellent guidance.

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 and does well by explaining key behavioral aspects: date filtering uses DATE ONLY comparison with time ignored, format requirements (YYYY-MM-DD or ISO 8601), and how to get single-day events. It also clarifies status filtering semantics with contentGenerated/posted conditions. It doesn't mention pagination behavior or rate limits, preventing a perfect score.

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?

Perfectly structured with clear sections (STATUS FILTERING, DATE FILTERING, EXAMPLES) and zero wasted sentences. Every sentence provides essential information. The description is appropriately sized for a complex filtering tool with 7 parameters and no annotations.

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 listing tool with 7 parameters, 100% schema coverage, but no annotations or output schema, the description provides excellent context about filtering behavior and usage. The examples are particularly helpful. It doesn't describe the return format or structure, which would be needed for a perfect score given no output schema exists.

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 adds value by explaining status filtering semantics (mapping status values to contentGenerated/posted states) and date filtering behavior (date-only comparison, single-day technique). However, it doesn't add significant meaning beyond what the schema already documents for most parameters.

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 verb 'List' and resource 'scheduled events' with specific filtering capabilities. It distinguishes this tool from siblings like timeline_add_scheduled_event (create) and timeline_update_scheduled_event (modify) by focusing on retrieval only. The opening sentence establishes a precise purpose.

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 clear context for when to use this tool through detailed filtering options and examples. It implicitly positions this as the primary listing tool for scheduled events. However, it doesn't explicitly mention when NOT to use it or name specific alternatives among siblings, keeping it at a 4 rather than a 5.

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 of behavioral disclosure. 'List all tracks' implies a read-only operation, but it doesn't specify any behavioral traits such as pagination behavior (implied by limit/offset parameters), rate limits, authentication needs, or what 'all' entails (e.g., all accessible tracks). This leaves significant gaps in understanding how the tool behaves beyond basic listing.

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 'List all tracks' is extremely concise with only three words, front-loading the core action and resource without any wasted words. It efficiently communicates the basic purpose in a minimal format, making it easy to scan and understand at a glance.

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 complexity (2 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain the parameters, return values, or behavioral context needed for effective use. While conciseness is high, the lack of details on how to use the tool with its parameters and what to expect in response makes it inadequate for the tool's context.

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 input schema has 2 parameters (limit and offset) with 0% description coverage, meaning no parameter details are provided in the schema. The description 'List all tracks' doesn't mention or explain these parameters at all, failing to compensate for the schema's lack of documentation. However, since the tool has parameters, the baseline is adjusted from 4 to 3, as the description adds no semantic value beyond 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 'List all tracks' clearly states the verb ('List') and resource ('tracks'), making the basic purpose understandable. However, it lacks specificity about what 'tracks' are in this context (e.g., timeline tracks, audio tracks) and doesn't distinguish this tool from its sibling 'timeline_list_scheduled_events', which suggests a similar listing function for a different resource. This makes it vague in differentiation.

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 no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, context for usage, or comparisons to sibling tools like 'timeline_list_scheduled_events' for listing scheduled events instead of tracks. Without such information, users must infer usage from the tool name alone, which is insufficient.

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 of behavioral disclosure. 'Remove' implies a destructive mutation, but the description doesn't specify whether this action is reversible, requires specific permissions, affects related data, or has side effects (e.g., notifications). It lacks details on error handling, rate limits, or response format, leaving significant gaps in understanding the tool's behavior.

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 extremely concise with a single sentence ('Remove a scheduled event'), which is front-loaded and wastes no words. While it could benefit from more detail, it efficiently communicates the core action without redundancy or fluff, earning a high score for brevity and clarity in structure.

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 complexity (a destructive mutation with no annotations, 0% schema coverage, and no output schema), the description is incomplete. It doesn't explain what happens upon removal, potential errors, or return values, leaving critical aspects undocumented. For a tool that modifies data, this lack of context makes it inadequate for safe and effective use.

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 description adds no parameter semantics beyond what the input schema provides. With 0% schema description coverage, the single parameter 'eventId' is undocumented in both the schema and description. However, since there's only one parameter and its purpose (identifying the event to remove) is somewhat inferable from context, this meets the baseline for minimal viability without compensating for the coverage gap.

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 the action ('Remove') and resource ('a scheduled event'), which provides a basic understanding of what the tool does. However, it doesn't differentiate from sibling tools like 'timeline_remove_track' or specify what constitutes a 'scheduled event' versus other event types. The purpose is clear but lacks specificity about scope or distinction from alternatives.

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 offers no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing event ID), exclusions, or comparisons with siblings like 'timeline_update_scheduled_event' or 'timeline_list_scheduled_events'. Without such context, users must infer usage from the tool name alone.

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 communicates that this is a destructive operation ('will delete all events in the track'), which is crucial for a mutation tool. However, it lacks details on permissions, reversibility, or response format, leaving some behavioral 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 front-loaded with the core action and includes a critical WARNING in two concise sentences. Every sentence earns its place by clarifying the scope and risk of the operation, with no redundant or unnecessary information.

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 destructive nature, no annotations, and no output schema, the description is moderately complete. It covers the main action and warning but lacks details on permissions, error handling, or return values. For a mutation tool with zero annotation coverage, more context would be beneficial to fully inform 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?

The input schema has 1 parameter with 0% description coverage, so the description must compensate. It implies the parameter is a track identifier but does not explicitly define 'trackId' or its format. Since there is only one parameter, the baseline is high, but the description adds minimal semantic context beyond the schema's structural definition.

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 specific action ('Remove') and resource ('a track and all its associated events'), distinguishing it from siblings like timeline_remove_scheduled_event (which removes individual events) and timeline_list_tracks (which lists tracks). It explicitly mentions the scope of deletion ('all events in the track'), making the purpose unambiguous.

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 implies usage by highlighting the destructive nature with a WARNING, suggesting it should be used cautiously for deletion. However, it does not explicitly state when to use this tool versus alternatives (e.g., timeline_remove_scheduled_event for removing single events) or provide prerequisites. The guidance is implicit rather than explicit.

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 for behavioral disclosure. It states this is an update operation, implying mutation, but doesn't cover critical aspects like required permissions, whether changes are reversible, rate limits, or what happens to unspecified fields. This leaves significant gaps for a mutation 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 a single, direct sentence with zero wasted words. It's appropriately sized for a basic tool definition and front-loaded with the core action, making it highly efficient in communication.

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 mutation tool with 2 parameters (including a complex nested object), 0% schema description coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain parameters, behavioral implications, or return values, leaving the agent poorly equipped to use this tool correctly.

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%, so the schema provides no parameter descriptions. The tool description adds no information about the two parameters (eventId and updates) or their nested properties, failing to compensate for the schema's lack of documentation. This leaves parameters entirely unexplained.

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 action ('Update') and resource ('an existing scheduled event'), making the purpose immediately understandable. It distinguishes from siblings like 'timeline_add_scheduled_event' by specifying it's for updates rather than creation, though it doesn't explicitly mention all sibling alternatives.

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?

No guidance is provided on when to use this tool versus alternatives like 'timeline_remove_scheduled_event' or 'timeline_list_scheduled_events'. The description doesn't mention prerequisites (e.g., needing an existing event ID) or contextual constraints, leaving the agent with minimal usage direction.

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