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

No annotations are provided, so the description carries full burden. It states the action ('focus') but doesn't disclose behavioral traits: whether this is a read/write operation, if it requires specific permissions, what happens if no announcement is active, or what the expected outcome is (e.g., UI change, state update). The description is minimal and lacks context on effects or constraints.

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, clear sentence with no wasted words. It's front-loaded with the core action and target, making it easy to parse quickly. Every word earns its place without redundancy.

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 no annotations, no output schema, and a mutation-like action ('focus'), the description is incomplete. It doesn't explain what 'focus' entails, the result of the operation, error conditions, or how it interacts with the system state. For a tool that likely changes state, more context is needed to guide 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 tool has 0 parameters, and schema description coverage is 100% (empty schema). The description doesn't need to add parameter semantics, so it meets the baseline of 4 for zero-parameter tools. No additional parameter information is required or provided.

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 'Focus the currently active announcement presentation' clearly states the action (focus) and target (active announcement presentation), but it's somewhat vague about what 'focus' means operationally. It distinguishes from siblings like 'announcement_get_active' (read-only) and 'announcement_trigger_active' (trigger action), but doesn't explicitly contrast with similar tools like 'focus_active_presentation' or 'playlists_focus_active_announcement'.

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 explicit guidance on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., requires an active announcement), exclusions, or comparisons to sibling tools like 'announcement_trigger_active' or 'focus_active_presentation'. Usage is implied by the name but 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 of behavioral disclosure. It states a read operation ('Get'), implying it's likely non-destructive and read-only, but doesn't confirm this or add details like error conditions, return format, or whether it requires specific permissions. For a tool with zero annotation coverage, this is a significant gap in transparency.

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, clear sentence that directly states the tool's purpose without any fluff or redundancy. It's front-loaded and efficiently communicates the core functionality, making it easy for an agent to parse and understand quickly.

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 has 0 parameters, no annotations, and no output schema, the description is minimally adequate. It specifies what the tool does but lacks details on behavioral traits, return values, or usage context. For a simple read tool, this might suffice, but it leaves gaps in understanding how to interpret results or handle errors.

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 0 parameters with 100% coverage, meaning no parameters are documented in the schema. The description doesn't mention any parameters, which is appropriate here since none exist. It effectively compensates by not introducing unnecessary complexity, aligning with the tool's parameterless nature.

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 ('Get') and the resource ('currently active announcement presentation'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'announcement_get_slide_index' or 'announcement_get_timeline_status', which also retrieve announcement-related data but focus on different aspects.

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. With many sibling tools available (e.g., 'announcement_get_slide_index', 'get_active_presentation'), there's no indication of context, prerequisites, or distinctions, leaving the agent to infer usage based on tool names 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states a read operation ('Get') but doesn't specify if it requires permissions, returns an error if no announcement is active, or describes the output format (e.g., integer index). This leaves significant gaps in understanding how the tool behaves in edge cases.

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, clear sentence that directly states the tool's purpose without any fluff. It's front-loaded and efficiently conveys the essential information, making it easy to parse and understand quickly.

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 simplicity (0 parameters, no output schema, no annotations), the description is adequate but not fully complete. It explains what the tool does but lacks details on behavioral aspects like error handling or output format, which could be important for an AI agent to use it correctly in various scenarios.

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 tool has 0 parameters with 100% schema description coverage, so no parameter information is needed. The description correctly doesn't discuss parameters, which is appropriate. A baseline of 4 is given since it avoids unnecessary details while aligning with 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 clearly states the verb 'Get' and the resource 'index of the current slide within the active announcement', making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_active_slide_index' or 'announcement_get_active', which might retrieve different information about announcements.

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 prerequisites (e.g., requires an active announcement), exclusions, or compare it to similar tools like 'get_active_slide_index' or 'announcement_get_active', leaving usage context unclear.

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 states the tool is a 'Get' operation, implying read-only behavior, but doesn't specify what 'timeline status' entails (e.g., progress, state, metadata), whether it returns structured data, or if there are any error conditions (e.g., no active announcement). This leaves 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 a single, clear sentence with no wasted words. It front-loads the key action and resource, making it efficient and easy to parse, which is ideal for a simple tool.

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 simplicity (0 parameters, no output schema, no annotations), the description is minimally adequate. It states what the tool does but lacks details on return values, error handling, or contextual usage relative to siblings. For a read operation with no structured output, it meets basic needs but could be more informative.

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 tool has 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description appropriately doesn't discuss parameters, which is correct for a parameterless tool, earning a baseline score of 4 for not adding unnecessary information.

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 ('Get') and the resource ('current timeline status of the active announcement'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_timeline_status' or 'get_focused_timeline_status', which appear to serve similar functions for different contexts.

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 prerequisites (e.g., whether an active announcement must exist), exclusions, or comparisons to siblings like 'announcement_get_active' or 'get_timeline_status', leaving usage context unclear.

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 but lacks behavioral details. It states the tool performs operations but doesn't disclose effects (e.g., whether 'rewind' resets to start or a specific point), permissions needed, error conditions, or if it's idempotent. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence that front-loads the core action and target. It avoids redundancy, though it could be slightly more informative (e.g., by clarifying 'active announcement' context). Every word earns its place, making it appropriately concise.

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 mutation operation with no annotations and no output schema), the description is incomplete. It doesn't explain what the operations do behaviorally, what 'active announcement' means, potential side effects, or return values. For a tool that modifies state, this leaves significant gaps for an AI agent.

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%, with the single parameter 'operation' fully documented in the schema via enum and description. The description adds no additional parameter semantics beyond implying the operations apply to an 'active announcement', which is already inferred from the tool name and context. Baseline 3 is appropriate as 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 action ('perform timeline operation') and target ('on active announcement'), specifying the operations as play, pause, and rewind. It distinguishes from siblings like 'announcement_get_timeline_status' (which reads status) and 'announcement_trigger_active' (which triggers rather than operates timeline), but could be more explicit about the distinction.

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. It doesn't mention prerequisites (e.g., requires an active announcement), exclusions, or compare with similar tools like 'focused_timeline_operation' or 'presentation_timeline_operation' from the sibling list, leaving usage context unclear.

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 states the tool 'retriggers' and 'starts from beginning', indicating a mutation action, but doesn't disclose behavioral traits like whether it requires specific permissions, if it affects other announcements, what happens if no announcement is active, or any rate limits. The description is minimal and misses key operational details 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, efficient sentence with zero waste: 'Retrigger the currently active announcement (starts from beginning)'. It's front-loaded with the core action and includes clarifying parenthetical. Every word earns its place, making it highly concise and well-structured.

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 mutation nature (implied by 'retrigger'), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what 'retrigger' entails operationally, potential side effects, error conditions, or return values. For a tool that likely modifies state, this leaves significant gaps in understanding its behavior and outcomes.

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 tool has 0 parameters, and schema description coverage is 100% (empty schema). The description doesn't need to add parameter details, so it appropriately doesn't discuss any. Baseline for 0 parameters is 4, as the description avoids unnecessary parameter information.

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 ('retrigger') and target ('currently active announcement'), specifying it 'starts from beginning'. It distinguishes from siblings like 'announcement_trigger_next' or 'announcement_trigger_previous' by focusing on restarting the current announcement rather than navigating. However, it doesn't explicitly contrast with all siblings (e.g., 'announcement_trigger_cue'), so it's not a perfect 5.

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 when you want to restart the active announcement from the beginning, but provides no explicit guidance on when to use this versus alternatives like 'announcement_trigger_next' or 'announcement_get_active'. It lacks prerequisites (e.g., requires an active announcement) or exclusions, leaving usage context partially inferred.

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 but offers minimal behavioral information. It doesn't explain what 'triggering' actually does (e.g., starts playback, advances to cue), whether this requires specific permissions, or what happens if the index is invalid. The description is too basic for a mutation tool with zero annotation coverage.

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 - a single sentence that directly states the tool's function without unnecessary words. Every word earns its place, making it front-loaded and efficient.

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 no annotations and no output schema, the description is inadequate. It doesn't explain what 'triggering' entails, what happens upon success/failure, or how this interacts with the active announcement state. The context requires more behavioral detail than provided.

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 description coverage is 100%, with the single parameter 'index' well-documented in the schema as 'The index of the cue to trigger (0-based)'. The description adds no additional parameter context beyond what the schema already provides, meeting the baseline for high schema coverage.

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 ('Trigger') and target ('a specific cue by index in the active announcement'), making the purpose understandable. However, it doesn't explicitly differentiate from similar tools like 'announcement_trigger_active' or 'announcement_trigger_next', which would be needed for a perfect score.

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. With multiple announcement trigger tools available (trigger_active, trigger_next, trigger_previous), there's no indication of when index-based triggering is preferred over other methods.

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 full burden. It states the tool 'triggers' something, implying a state-changing action, but doesn't disclose what happens (e.g., does it advance a presentation, play audio, change slides?), potential side effects, permissions needed, or error conditions. 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 a single, clear sentence with no wasted words. It's front-loaded with the core action and target, making it immediately understandable without unnecessary elaboration.

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 state-changing tool ('trigger') with no annotations and no output schema, the description is insufficient. It doesn't explain what 'triggering' entails, what happens to the announcement, what 'next cue' means, or what the expected outcome is. Given the complexity implied by the sibling tools, more context is needed.

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 tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, earning a baseline high score since it doesn't need to compensate for any gaps.

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 ('trigger') and the target ('next cue in the active announcement'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'announcement_trigger_previous' or 'announcement_trigger_cue', which would be needed for a perfect score.

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. With many sibling tools like 'announcement_trigger_previous', 'announcement_trigger_active', and 'announcement_trigger_cue', there's no indication of when this specific 'next cue' operation is appropriate versus other triggering options.

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 but only states the action without disclosing behavioral traits. It doesn't specify if this is a read-only or mutating operation, what happens if no active announcement exists, whether it's reversible, or any side effects. This leaves 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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the key action and target, making it easy to parse quickly, which is ideal for conciseness.

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 of triggering operations in a media control context, the description is incomplete. With no annotations, no output schema, and minimal behavioral disclosure, it fails to provide enough context for safe and effective use. It should clarify prerequisites, effects, and error conditions, especially since sibling tools suggest this is part of a broader announcement management system.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter details, and it correctly doesn't mention any parameters, aligning with the schema. A baseline of 4 is appropriate for zero-parameter tools.

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 ('trigger') and target ('previous cue in the active announcement'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'announcement_trigger_next' or 'announcement_trigger_cue', which would require mentioning what 'previous' means relative to other triggering options.

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 like 'announcement_trigger_next' or 'announcement_trigger_cue'. It also doesn't mention prerequisites, such as whether an active announcement must exist, leaving the agent to infer usage from context 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?

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Focus' implies a state change operation, but the description doesn't clarify what 'focusing' means in this context, whether it requires specific permissions, what happens to previously focused playlists, or what the expected outcome is. This leaves significant behavioral questions unanswered.

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 maximally concise with a single, clear sentence that states exactly what the tool does. There's no wasted language, repetition, or unnecessary elaboration. It's appropriately sized for a zero-parameter tool with a straightforward 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 state-changing operation ('focus') with no annotations and no output schema, the description is insufficient. It doesn't explain what 'focusing' entails, what the result looks like, or how this differs from similar sibling tools. Given the complexity implied by the sibling tool ecosystem and the lack of structured behavioral information, more context is needed for the agent to use this tool effectively.

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?

With 0 parameters and 100% schema description coverage, the baseline is 4. The description appropriately doesn't discuss parameters since none exist, and the schema already documents this completely. No additional parameter information is needed or provided.

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 'Focus the active audio playlist' clearly states the verb ('focus') and resource ('active audio playlist'), making the basic purpose understandable. However, it doesn't distinguish this tool from similar sibling tools like 'audio_focus_playlist' or 'audio_focus_next_playlist', leaving ambiguity about what specifically differentiates this operation.

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. With multiple similar audio playlist focusing tools in the sibling list (audio_focus_playlist, audio_focus_next_playlist, audio_focus_previous_playlist), the agent receives no indication of when this specific 'active' variant is appropriate versus other focusing operations.

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 but offers minimal behavioral insight. 'Focus' implies a state change, but it doesn't disclose whether this is a read-only operation, what 'focus' entails (e.g., activates playback, selects for editing), side effects, or error conditions. It lacks context on permissions, rate limits, or system impact.

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, efficient sentence with no wasted words. It's front-loaded with the core action ('Focus the next audio playlist'), making it easy to parse. Every word earns its place by conveying the essential 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?

Given no annotations, no output schema, and a potentially state-changing operation ('focus'), the description is incomplete. It doesn't explain what 'focus' does, what happens if no 'next' playlist exists, or what the tool returns. For a tool in a complex media-control context with many siblings, more behavioral detail is needed.

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 tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description doesn't add param info, but that's appropriate here. Baseline is 4 for zero-param tools, as the schema fully covers the absence of inputs.

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 'Focus the next audio playlist' clearly states the verb ('Focus') and resource ('next audio playlist'), but it's vague about what 'focus' means operationally. It distinguishes from siblings like 'audio_focus_previous_playlist' by direction, but doesn't clarify how it differs from 'audio_focus_playlist' or 'audio_focus_active_playlist' beyond the 'next' qualifier.

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. It doesn't specify prerequisites (e.g., requires an existing playlist), exclusions, or compare to siblings like 'audio_focus_active_playlist' or 'audio_focus_playlist'. The agent must infer usage from the 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'focus' implies a state change (likely setting a playlist as active or selected), the description doesn't clarify what 'focus' means operationally—whether it starts playback, selects for editing, or something else. It also omits details like permissions needed, side effects, or error conditions, which are critical 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, clear sentence with no wasted words, making it easy to parse. However, it lacks front-loading of critical distinctions from siblings, which could improve structure. Overall, it's efficiently concise but could be more informative.

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 tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'focus' entails behaviorally, what happens after focusing (e.g., playback starts, UI updates), or how it differs from similar tools. Given the complexity implied by sibling tools and the mutation nature, more context is needed to guide 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 input schema has 100% description coverage, with the single parameter 'playlistId' documented as 'The ID of the playlist to focus'. The description adds no additional semantic context beyond this, such as format examples or where to obtain IDs. Given the high schema coverage, a baseline score of 3 is appropriate, as the schema adequately handles parameter documentation.

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 'Focus a specific audio playlist' clearly states the action (focus) and resource (audio playlist), making the basic purpose understandable. However, it doesn't distinguish this tool from similar siblings like 'audio_focus_active_playlist', 'audio_focus_next_playlist', or 'audio_focus_previous_playlist', leaving ambiguity about what makes this tool unique.

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. With multiple sibling tools that also focus playlists (e.g., 'audio_focus_active_playlist', 'audio_focus_next_playlist'), there's no indication of whether this tool is for focusing by ID, for initial focusing, or for specific contexts. The lack of usage context makes selection challenging.

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 full burden. 'Focus' implies a state change operation, but the description doesn't disclose what 'focusing' entails behaviorally - whether it changes active playback, requires specific permissions, has side effects, or what happens if no previous playlist exists. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence with no wasted words. It's appropriately sized for a simple operation and front-loads the essential 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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'focusing' means operationally, what the expected outcome is, or any error conditions. Given the complexity implied by the extensive sibling tool ecosystem, more context is needed.

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 tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, earning a baseline score of 4 for this zero-parameter case.

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 'Focus the previous audio playlist' clearly states the action (focus) and target resource (previous audio playlist). It distinguishes from siblings like audio_focus_next_playlist and audio_focus_playlist by specifying 'previous', but doesn't fully differentiate from all audio-related tools in the extensive sibling list.

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. With many sibling tools like audio_focus_next_playlist, audio_focus_active_playlist, and audio_focus_playlist, the description offers no context about when 'previous' is appropriate versus other focus operations.

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 full burden. It states the tool is a 'Get' operation, implying read-only behavior, but doesn't disclose any behavioral traits such as permissions needed, rate limits, response format, or whether it returns real-time data. For a tool with zero annotation coverage, this is a significant gap in transparency.

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, clear sentence with no wasted words. It's front-loaded with the core purpose and appropriately sized for a simple, parameterless tool, making it highly efficient.

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 simplicity (0 parameters, no output schema, no annotations), the description is minimally adequate. It states what the tool does but lacks details on behavioral context, output, or usage relative to siblings. For a read operation in a complex server with many similar tools, it should provide more guidance 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?

The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter semantics, and it correctly implies no parameters are required. Baseline is 4 for zero parameters, as the description doesn't contradict or need to compensate.

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 ('Get') and the target resource ('the currently active audio playlist'), making the purpose immediately understandable. It distinguishes this tool from similar siblings like 'audio_get_playlist' or 'audio_get_focused_playlist' by specifying 'active' rather than general or focused playlists.

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 like 'audio_get_focused_playlist' or 'playlists_get_active', nor does it mention any prerequisites or context for usage. It lacks explicit when/when-not instructions or named alternatives.

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 a 'Get' operation, implying read-only behavior, but doesn't specify whether this requires specific permissions, what happens if no playlist is focused, or what format the return data takes. For a tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

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, clear sentence that states exactly what the tool does without any wasted words. It's appropriately sized for a simple retrieval tool and front-loads the essential 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?

For a simple read operation with no parameters and no output schema, the description is adequate but has gaps. It doesn't explain what 'focused' means in this system context or how this differs from 'active' playlists. Without annotations or output schema, the description should ideally provide more context about the return format or error conditions.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the parameter situation. The description appropriately doesn't mention parameters since none exist. The baseline for 0 parameters is 4, and the description doesn't contradict or add unnecessary information about 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 action ('Get') and target resource ('currently focused audio playlist'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'audio_get_active_playlist' or 'audio_get_playlist', which could cause confusion about what 'focused' means versus 'active'.

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 'audio_get_active_playlist' or 'audio_get_playlist'. The description doesn't explain what 'focused' means in this context or when this tool would be preferred over other playlist retrieval tools.

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 states the tool retrieves items, implying a read-only operation, but lacks details on permissions, rate limits, pagination behavior (beyond the 'start' parameter hint), or what 'items' entail (e.g., audio files, metadata). This leaves gaps in understanding how the tool behaves in practice.

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, efficient sentence that front-loads the core purpose ('Get all items in a specific audio playlist') with zero waste. It's appropriately sized for a straightforward retrieval tool, making it easy to parse and understand quickly.

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 of audio playlist management and the lack of annotations and output schema, the description is insufficient. It doesn't explain what 'items' are returned (e.g., audio tracks, durations), how pagination works beyond the 'start' parameter, or error handling for invalid playlist IDs. For a tool with potential nuances in a media context, more detail is needed.

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 description coverage is 100%, with clear descriptions for both parameters ('playlistId' and 'start'), so the schema does the heavy lifting. The description adds no additional semantic context beyond implying retrieval of items, which is already inferred from the tool name and schema. This meets the baseline for high schema coverage.

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 ('Get all items') and resource ('in a specific audio playlist'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'audio_get_playlists' (which likely lists playlists rather than items within one), but the specificity of 'items in a specific audio playlist' provides adequate clarity for the tool's function.

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, such as 'audio_get_active_playlist' or 'audio_get_focused_playlist', which might retrieve items from currently active or focused playlists. There's also no mention of prerequisites, like needing the playlist ID, or contextual cues for selection among similar tools.

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 full burden. While 'Get a list' implies a read-only operation, it doesn't specify whether this returns real-time data, cached data, or requires specific permissions. For a tool with zero annotation coverage, this lacks important behavioral context about data freshness, access requirements, or potential side effects.

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, efficient sentence that states exactly what the tool does without any unnecessary words. It's perfectly front-loaded with the core functionality and contains zero redundant 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?

For a simple read operation with no parameters and no output schema, the description adequately covers the basic purpose. However, without annotations or output schema, it doesn't provide information about return format (e.g., list structure, playlist attributes) or behavioral constraints that would help an agent use it effectively.

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 tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the lack of inputs. The description appropriately doesn't waste space discussing parameters that don't exist, maintaining focus on what the tool does rather than what it accepts.

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 ('Get') and resource ('list of all configured audio playlists'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'audio_get_active_playlist' or 'audio_get_focused_playlist', which would require mentioning this tool retrieves ALL playlists rather than specific ones.

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. With many sibling tools that retrieve specific playlists (active, focused, individual), there's no indication that this tool should be used when a comprehensive list is needed rather than querying specific playlist states.

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 mentions 'chunked response' which hints at streaming or incremental updates, but doesn't explain subscription mechanics (e.g., how updates are delivered, termination conditions, or error handling). For a subscription tool with zero annotation coverage, this leaves critical 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 a single, efficient sentence that communicates the core functionality without unnecessary words. It's appropriately sized for a tool with one parameter and clear purpose, with every part of the sentence contributing value.

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 subscription tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'updates' consist of, how the 'chunked response' works, subscription duration, or how to interpret results. The agent would struggle to use this tool effectively without additional context about the subscription behavior and response format.

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% with the single parameter 'playlistId' well-documented in the schema. The description adds no additional parameter context beyond what the schema provides, so it meets the baseline of 3 for adequate coverage when 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 action ('Subscribe to updates') and resource ('for a specific audio playlist'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools like 'audio_get_playlist' or 'playlists_get_updates', but the subscription focus is reasonably distinct from simple retrieval operations.

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 like 'audio_get_playlist' for one-time retrieval or 'audio_get_playlists' for listing playlists. It mentions 'chunked response' but doesn't explain what that means or when this subscription approach is preferred over polling with other tools.

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 full burden. 'Trigger' implies a state-changing action, but the description doesn't disclose what happens (e.g., does it play audio immediately, queue it, or advance playback?), potential side effects, permissions needed, or error conditions. 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 a single, direct sentence with no wasted words. It's front-loaded with the core action and target, making it immediately clear without unnecessary elaboration.

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 state-changing tool with no annotations and no output schema, the description is insufficient. It lacks details on what 'trigger' entails behaviorally, what the expected outcome is, or any error handling. Given the complexity implied by 'active playlist' and the absence of structured data, more context is needed.

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 tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't mention parameters, which is efficient. A baseline of 4 is given since it doesn't need to compensate for any parameter gaps.

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 ('Trigger') and the target ('next item in the active playlist'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from similar sibling tools like 'audio_trigger_active_previous' or 'audio_trigger_focused_next', which would be needed for a perfect score.

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. With multiple similar triggering tools in the sibling list (e.g., 'audio_trigger_active_previous', 'audio_trigger_focused_next'), there's no indication of context, prerequisites, or distinctions between them.

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 states the tool will 'trigger' and 'restart from beginning', which implies a state-changing operation, but doesn't disclose behavioral aspects like whether this requires specific permissions, what happens if no playlist is active, or if there are side effects on other audio operations.

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, efficient sentence that immediately states the tool's purpose and effect without unnecessary words. Every element ('Trigger', 'active audio playlist', 'restart from beginning') contributes directly to understanding the tool's function.

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 zero-parameter tool with no output schema, the description adequately explains what the tool does. However, as a state-changing operation with no annotations, it should ideally mention more about behavioral context (e.g., what 'active' means, confirmation of success, or error conditions). The completeness is minimal but viable.

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 tool has zero parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the tool's effect. A baseline of 4 is appropriate for zero-parameter tools.

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 ('Trigger') and resource ('active audio playlist'), with the specific effect 'restart from beginning' adding useful detail. It distinguishes from some siblings like 'audio_trigger_active_next' or 'audio_trigger_active_previous', but doesn't explicitly contrast with all audio-related 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?

No guidance is provided on when to use this tool versus alternatives like 'audio_trigger_focused_playlist' or 'audio_trigger_playlist'. The description implies it operates on the 'active' playlist, but doesn't clarify prerequisites or when this tool is appropriate compared to other trigger operations.

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 full burden. While 'Trigger' implies an action that changes state, it doesn't disclose whether this requires specific permissions, what happens if there's no previous item, if it's reversible, or any side effects. The description is minimal and lacks behavioral context beyond the basic action.

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, clear sentence with no wasted words. It's front-loaded with the essential action and target, making it highly efficient and easy to parse 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?

For a parameterless tool with no output schema, the description covers the basic purpose adequately. However, given the complexity implied by many sibling tools and the lack of annotations, it should provide more context about when and how to use it, what 'active playlist' means, and what the expected outcome is.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the absence of inputs. The description doesn't need to add parameter information, and it correctly doesn't mention any parameters, making it appropriate for a parameterless tool.

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 ('Trigger') and target ('previous item in the active playlist'), which is specific and unambiguous. However, it doesn't explicitly differentiate from its sibling 'audio_trigger_active_next' or other similar tools like 'audio_trigger_focused_previous', leaving some ambiguity about when to choose this exact tool versus 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 provides no guidance on when to use this tool versus alternatives. With many sibling tools like 'audio_trigger_active_next', 'audio_trigger_focused_previous', and 'playlists_trigger_previous', there's no indication of prerequisites, context requirements, or distinctions between 'active' versus 'focused' playlists.

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 but offers minimal behavioral insight. It implies a mutation action ('Trigger') but doesn't disclose side effects, permissions needed, error conditions, or what happens if no playlist is focused. For a tool that likely changes system state, this lack of transparency is a significant gap, leaving users uncertain about its impact and requirements.

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 that front-loads the core action without fluff. It uses minimal words ('Trigger the next item in the focused playlist') to convey the essential function, making it highly efficient and easy to parse. Every word earns its place, and there's no redundancy or structural waste.

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 implied by 'trigger' actions in a media control context and the absence of both annotations and an output schema, the description is incomplete. It doesn't explain what 'triggering' entails (e.g., starting playback, advancing a cue), what the expected outcome is, or potential errors. For a state-changing tool with no structured safety or output information, this leaves critical gaps in understanding its full behavior and results.

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 tool has zero parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description appropriately doesn't waste space on nonexistent inputs. A baseline of 4 is justified because it avoids unnecessary detail while correctly reflecting the parameterless nature, though it doesn't add value beyond the schema (which already fully covers the empty parameter set).

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 ('Trigger') and target ('next item in the focused playlist'), making the purpose immediately understandable. It distinguishes itself from siblings like 'audio_trigger_focused_playlist' or 'audio_trigger_focused_previous' by specifying 'next' rather than general triggering or previous navigation. However, it doesn't explicitly contrast with 'audio_trigger_active_next' or 'playlists_trigger_focused_next', leaving some ambiguity about the exact scope 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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., whether a playlist must be focused first), exclusions, or comparisons to similar tools like 'audio_trigger_active_next' or 'playlists_trigger_focused_next'. Without this context, users must infer usage from the tool name alone, which is insufficient for optimal decision-making.

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 full burden. 'Trigger' implies an action that initiates something, but it doesn't disclose what happens when triggered (e.g., starts playback, advances to next item, or activates a playlist), whether it's reversible, or any side effects like audio output changes. This leaves significant behavioral gaps for a tool with potential audio system impact.

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, efficient sentence with no wasted words. It's appropriately sized for a zero-parameter tool and front-loads the core action, though it lacks depth due to its brevity.

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 of audio playlist operations and the lack of annotations or output schema, the description is incomplete. It doesn't explain what 'trigger' entails, what 'focused' means in this system, or what the expected outcome is. For a tool that likely interacts with audio playback in a multi-tool environment, more context is needed to guide proper 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 tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here. A baseline of 4 is given since no parameters exist, and the description doesn't need to compensate for any schema gaps.

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 'Trigger the focused audio playlist' restates the tool name 'audio_trigger_focused_playlist' with minimal variation, making it tautological. It specifies a verb ('trigger') and resource ('focused audio playlist'), but doesn't clarify what 'trigger' means in this context or how it differs from similar tools like 'audio_trigger_active_playlist' or 'playlists_trigger_focused'.

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. With many sibling tools involving audio playlists, triggers, and focused items, the description offers no context about prerequisites, timing, or distinctions from tools like 'audio_trigger_focused_next' or 'audio_trigger_active_playlist'.

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 full burden. It states the action ('trigger') but doesn't disclose behavioral traits like whether this requires specific permissions, what happens if no playlist is focused, if it's a read-only or mutating operation, or what the expected outcome is. The term 'trigger' implies an action but lacks detail on effects or constraints.

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, clear sentence that directly states the tool's function without any fluff. It's front-loaded and wastes no words, making it easy to parse quickly. Every word earns its place by conveying essential action and target.

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 of media control tools and the lack of annotations and output schema, the description is insufficient. It doesn't explain what 'trigger' entails (e.g., playback control, state change), what 'previous item' means in context, or any error conditions. For a tool in a domain with many siblings, more context is needed to ensure 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?

The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, which is efficient. A baseline of 4 is applied since no parameters exist, and the description doesn't attempt to add unnecessary information.

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 ('trigger') and target ('previous item in the focused playlist'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from similar sibling tools like 'audio_trigger_focused_next' or 'playlists_trigger_focused_previous', which would require more specific context about what makes this tool unique.

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. With many similar sibling tools (e.g., 'audio_trigger_focused_next', 'audio_trigger_active_previous', 'playlists_trigger_focused_previous'), the description offers no context about prerequisites, dependencies, or appropriate scenarios for this specific tool.

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 full burden. 'Trigger' implies an action but doesn't specify whether this starts playback, requires specific permissions, has side effects, or what happens if the playlist is already playing. For a mutation tool with zero annotation coverage, this leaves critical behavioral questions unanswered.

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, efficient sentence with zero wasted words. It's appropriately sized for a simple tool and gets straight to the point without unnecessary elaboration.

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 no annotations and no output schema, the description is insufficient. It doesn't explain what 'trigger' means operationally, what happens after triggering, potential errors, or how this differs from similar sibling tools. The context demands more behavioral and usage information than provided.

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% with the single parameter 'playlistId' well-documented in the schema. The description doesn't add any parameter information beyond what the schema provides, but with complete schema coverage, the baseline score of 3 is appropriate.

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 'Trigger a specific audio playlist' clearly states the action (trigger) and resource (audio playlist), but it's vague about what 'trigger' means - does it start playback, activate, or something else? It doesn't distinguish from sibling tools like 'audio_trigger_active_playlist' or 'audio_trigger_focused_playlist', which handle different playlist contexts.

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 on when to use this tool versus alternatives. With many sibling tools like 'audio_trigger_active_playlist' (for currently active playlist) and 'audio_trigger_focused_playlist' (for focused playlist), the description provides no context about when this specific playlist triggering tool is appropriate versus those other options.

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 full burden. It states 'trigger' but doesn't clarify behavioral traits such as whether this starts playback, requires specific permissions, has side effects (e.g., mutating state), or what happens on success/failure. This is inadequate for a tool that likely performs an action, leaving critical 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 a single, efficient sentence with zero waste. It's front-loaded and appropriately sized for the tool's apparent simplicity, making it easy to parse quickly.

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 (action-oriented tool with no annotations or output schema), the description is incomplete. It lacks details on what 'trigger' entails, expected outcomes, error conditions, or how it fits with sibling tools. This leaves the agent under-informed for reliable 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?

Schema description coverage is 100%, with clear descriptions for 'playlistId' and 'itemId'. The description adds no additional meaning beyond the schema, such as format examples or constraints. Since the schema does the heavy lifting, the baseline score of 3 is appropriate.

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 'Trigger a specific item in a specific playlist' clearly states the action (trigger) and target (item in playlist), but it's vague about what 'trigger' means (e.g., play, activate, execute) and doesn't differentiate from sibling tools like 'audio_trigger_playlist' or 'playlists_trigger_item', which have similar naming patterns. It provides a basic purpose but lacks specificity.

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. With many sibling tools involving playlists and triggers (e.g., 'audio_trigger_playlist', 'playlists_trigger_item'), the description offers no context, prerequisites, or exclusions, leaving the agent to guess based on naming 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?

No annotations are provided, so the description carries the full burden. It states the tool retrieves encodings but doesn't disclose behavioral traits like whether this is a read-only operation, what format the encodings are returned in, if there are rate limits, or authentication requirements. For a tool with no annotations, this leaves significant gaps in understanding its 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 a single, clear sentence with zero waste. It front-loads the purpose efficiently without unnecessary details, making it easy for an agent to parse quickly.

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 has no annotations and no output schema, the description is incomplete. It doesn't explain what 'capture encodings' are, what the return values might look like, or any error conditions. For a tool that likely returns a list or structured data, this lack of context makes it harder for an agent to use effectively.

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 description coverage is 100%, with the single parameter 'type' fully documented in the schema (including enum values). The description adds no additional meaning beyond what the schema provides, such as explaining what 'capture encodings' entail or how the type influences results. Baseline 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 action ('Get') and resource ('available capture encodings') with a specific scope ('for a specific type'). It distinguishes from sibling tools like 'capture_get_settings' and 'capture_get_status' by focusing on encodings rather than settings or status. However, it doesn't explicitly differentiate from other 'get' tools in the server, keeping it at a 4 rather than a 5.

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 prerequisites, context, or any sibling tools that might be relevant for related operations. The agent must infer usage solely from the tool name and parameters.

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. 'Get' implies a read operation, but the description doesn't specify what 'capture settings' encompass, whether this requires permissions, or what format the output takes. For a tool with zero annotation coverage, this leaves significant gaps in understanding its 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 a single, clear sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place by conveying essential information without redundancy.

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 has 0 parameters and no output schema, the description is minimally adequate but lacks depth. It states what the tool does but doesn't explain what 'capture settings' include or what the return value looks like. For a tool with no annotations and no output schema, more context about the expected output would be helpful for the agent.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter information, and it correctly implies no inputs are required by not mentioning any. This meets the baseline for tools with no 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 'Get the current capture settings' clearly states the verb ('Get') and resource ('capture settings'), making the basic purpose understandable. However, it doesn't differentiate this tool from sibling capture tools like 'capture_get_encodings' or 'capture_get_status', leaving ambiguity about what specific settings are retrieved versus other capture-related data.

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 comparison to sibling tools like 'capture_get_encodings' or 'capture_get_status', leaving the agent to infer usage based on tool names 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 states it's a read operation ('Get'), implying non-destructive behavior, but doesn't cover aspects like rate limits, authentication needs, error conditions, or what 'capture status' and 'capture time' entail. This leaves significant gaps for a tool with zero annotation coverage.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately front-loaded and concise, though it could be slightly more informative without sacrificing brevity.

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 lack of annotations and output schema, the description is incomplete. It doesn't explain what 'capture status' or 'capture time' mean, their format, or potential return values, leaving the agent with insufficient context to understand the tool's behavior fully.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter details, and it appropriately doesn't mention any, earning a baseline score of 4 for not introducing confusion.

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 ('Get') and the target ('current capture status and capture time'), making the purpose evident. However, it doesn't differentiate from sibling tools like 'capture_get_encodings' or 'capture_get_settings', which also retrieve capture-related information, so it misses full sibling distinction.

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. The description lacks context about prerequisites, timing, or comparisons to other capture-related tools in the sibling list, leaving usage unclear.

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 full burden. It implies a mutation ('perform'), but doesn't disclose behavioral traits such as permissions needed, whether it's idempotent, what happens on start/stop (e.g., recording begins/ends), error conditions, or system impact. The description is minimal and lacks critical 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 concise (one sentence) and front-loaded with the core action. However, it could be more structured by explicitly separating purpose from usage, but it avoids unnecessary verbosity.

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 mutation with no annotations and no output schema), the description is incomplete. It doesn't explain what 'capture' means, what the tool returns, error handling, or dependencies. For a tool that likely controls a critical function like recording, this is inadequate.

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%, with the single parameter 'operation' fully documented in the schema (enum: start/stop). The description adds no additional meaning beyond the schema, such as what 'start' or 'stop' do contextually. Baseline is 3 since 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 'Perform a capture operation (start or stop)' states the action (perform) and resource (capture operation), but is vague about what 'capture' entails. It distinguishes from siblings like 'capture_get_encodings' by being an action rather than a query, but doesn't specify what is being captured (e.g., video, audio, screen).

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 on when to use this tool versus alternatives. The description doesn't mention prerequisites, side effects, or relationships to other tools like 'capture_get_status' or 'capture_get_settings'. The agent must infer usage from the name and parameter 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 full burden but only states it 'gets details' without specifying what details are returned, format, permissions needed, or error behavior. It lacks critical context for a read operation, though it doesn't contradict any annotations.

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, clear sentence with no wasted words. It's front-loaded with the core purpose ('Get details'), making it efficient and easy to parse.

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 read tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'details' are returned, potential errors, or how it differs from similar tools, leaving gaps in understanding despite the simple parameter schema.

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 fully documents the 'id' parameter. The description adds no additional parameter information beyond implying it's for a 'specific clear group', which aligns with the schema but doesn't provide extra value.

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 ('Get details') and resource ('of a specific clear group'), making the purpose immediately understandable. However, it doesn't differentiate from its sibling 'clear_get_groups' (which likely lists multiple groups), leaving some ambiguity about when to use each.

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 about when to use this tool versus alternatives. The description doesn't mention prerequisites, context, or comparison with sibling tools like 'clear_get_groups' or 'clear_trigger_group', leaving the agent to infer usage.

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 full burden. While 'Get a list' implies a read-only operation, it doesn't disclose important behavioral aspects: whether this requires authentication, what format the list returns, if there are rate limits, or whether the list is filtered/limited. For a tool with zero annotation coverage, this leaves significant 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 a single, efficient sentence that communicates the core purpose without any wasted words. It's appropriately sized for a simple retrieval tool and front-loads the essential information ('Get a list of all configured clear groups').

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 zero-parameter read operation, the description is minimally adequate. However, with no annotations and no output schema, it should ideally provide more context about what 'clear groups' are and what the returned list contains. The description stands alone without connecting to the broader system context evident from sibling tools.

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 tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the parameter situation. The description appropriately doesn't mention parameters since none exist. It correctly focuses on what the tool does rather than parameter details that aren't needed.

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 ('Get a list') and resource ('all configured clear groups'), making the purpose immediately understandable. It distinguishes from sibling 'clear_get_group' (singular) by specifying 'all' groups. However, it doesn't explain what 'clear groups' are in this context, leaving some ambiguity.

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. With many sibling tools available (including 'clear_get_group' for single groups and 'global_groups_get_all'), there's no indication of when this specific list-retrieval tool is appropriate versus other group-related tools.

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 full burden. 'Clear' implies a destructive operation, but the description doesn't specify what 'clear' means (e.g., remove content, reset to default, hide), whether it requires permissions, if it's reversible, or what happens after clearing. This leaves significant behavioral 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, efficient sentence that directly states the tool's purpose with no wasted words. It's appropriately sized for a simple tool with one parameter, making it easy to parse and understand quickly.

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 destructive operation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'clear' entails behaviorally, what the expected outcome is, or how it differs from sibling clearing tools. Given the complexity of layer management implied by sibling tools, more context is needed.

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%, with the parameter 'layer' fully documented in the schema including its enum values. The description lists the same seven layer types, adding no additional meaning beyond what the schema provides. This meets the baseline of 3 when schema coverage is high.

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 ('Clear') and the resource ('a specific layer'), listing the seven possible layer types. It's specific about what the tool does, though it doesn't explicitly distinguish it from sibling tools like 'messages_clear' or 'props_clear' that might handle similar operations for specific layers.

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. With many sibling tools like 'messages_clear', 'props_clear', and various 'clear_get' tools, there's no indication of when this general layer-clearing tool is preferred over more specific ones or what context triggers its use.

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. 'Trigger' implies an action that initiates something, but it doesn't specify whether this is a read-only or destructive operation, what permissions are required, what side effects occur, or what the expected outcome is. The description is too vague to inform the agent about behavioral traits.

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 that directly states the tool's action. There is no wasted language or unnecessary elaboration, making it front-loaded and efficient 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?

For a tool with no annotations and no output schema, the description is inadequate. It fails to explain what 'triggering' entails, what a 'clear group' is, or what the result of the operation might be. Given the complexity implied by the sibling tools and the lack of structured data, the description does not provide sufficient context for 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 input schema has 100% description coverage, with the 'id' parameter clearly documented as 'The ID of the clear group to trigger'. The description adds no additional parameter information beyond what the schema provides, which is acceptable given the high schema coverage, resulting in a baseline score of 3.

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 'Trigger a specific clear group' is essentially a tautology that restates the tool name 'clear_trigger_group' with minimal elaboration. It provides a verb ('trigger') and resource ('clear group'), but lacks specificity about what 'trigger' means in this context or what distinguishes it from sibling tools like 'clear_layer' or 'clear_get_group'.

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. With many sibling tools that involve triggering operations (e.g., 'trigger_active_group', 'trigger_focused_group', 'playlists_trigger'), the description offers no context about appropriate use cases, prerequisites, or distinctions from related tools.

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 full burden. It states the action ('trigger') and effect ('highlight the cursor'), but doesn't disclose important behavioral traits like whether this is a one-time or persistent highlight, duration, visual characteristics, permissions needed, or system requirements. For a tool with zero annotation coverage, this leaves significant 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?

Single sentence with zero waste - every word contributes to understanding the tool's function. Front-loaded with the core action ('trigger') and immediately specifies what happens ('highlight the cursor on all screens').

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, parameterless tool with no output schema, the description covers the basic action and effect. However, without annotations, it should ideally provide more behavioral context (duration, visual details, system requirements). The description is minimally adequate but could be more complete given the 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?

The tool has zero parameters with 100% schema description coverage. The description appropriately doesn't discuss parameters since none exist. It focuses on the action and outcome, which is correct for a parameterless tool.

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 ('trigger') and resource ('find my mouse feature') with precise outcome ('highlight the cursor on all screens'). It distinguishes from all sibling tools which are focused on presentation/audio/playlist management, not cursor visibility.

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 on when to use this tool versus alternatives is provided. The description doesn't mention prerequisites, timing considerations, or whether this should be used instead of other cursor-related functions (though none appear in siblings).

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 full burden. 'Focus' implies a state change operation, but the description doesn't clarify what 'focusing' entails (e.g., does it bring the presentation to foreground, select it for control, or something else?), what permissions are needed, or what happens if no presentation is active. 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 a single, efficient sentence with no wasted words. It's appropriately sized for a simple tool with no parameters, and the meaning is front-loaded without unnecessary elaboration.

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 zero-parameter tool with no annotations and no output schema, the description provides the basic purpose but lacks important context. It doesn't explain what 'focus' means operationally, what the expected outcome is, or how this differs from similar sibling tools. This leaves the agent with insufficient information to use the tool confidently in 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 tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, which aligns with the empty input schema. A baseline of 4 is appropriate for zero-parameter tools when the description doesn't attempt to document non-existent 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 'Focus the currently active presentation' clearly states the action (focus) and target (currently active presentation), but it's somewhat vague about what 'focus' means operationally. It doesn't distinguish this tool from sibling tools like 'focus_presentation' or 'playlists_focus_active_presentation', which appear to serve similar functions.

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 about when to use this tool versus alternatives. With multiple sibling tools containing 'focus' and 'presentation' in their names (e.g., focus_presentation, focus_next_presentation, playlists_focus_active_presentation), the description offers no differentiation or context for choosing this specific tool.

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. It states the action but does not cover critical aspects like whether this requires specific permissions, if it affects other presentations, error conditions, or response behavior. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and appropriately sized for its function, with no wasted content.

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 performs mutations (timeline operations) with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits, error handling, or what constitutes a 'focused presentation', making it incomplete for safe and effective use by an AI agent.

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%, with the parameter 'operation' fully documented in the schema via enum and description. The description adds no additional meaning beyond the schema, such as explaining the effects of each operation or contextual details, so it meets the baseline score of 3.

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 ('perform') and resource ('timeline operation on focused presentation'), specifying the operations as play, pause, and rewind. However, it does not explicitly distinguish this tool from sibling tools like 'presentation_timeline_operation' or 'timeline_operation', which may have similar functions but different scopes.

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, such as sibling tools like 'presentation_timeline_operation' or 'timeline_operation'. It lacks context about prerequisites (e.g., whether a presentation must be focused) or exclusions, leaving usage ambiguous.

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. 'Focus the next presentation' implies a state-changing action, but it doesn't clarify what 'focus' means (e.g., selecting, activating, or highlighting), whether it requires permissions, its side effects, or the response format. The description is too vague to inform the agent adequately about behavioral traits.

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, efficient sentence with no wasted words. It is front-loaded and appropriately sized for a tool with no parameters, making it easy to parse quickly. Every word serves a purpose in conveying the core action.

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 (implied state change with no annotations or output schema) and rich sibling context, the description is incomplete. It fails to explain what 'focus' does, how it differs from similar tools, or what the agent should expect. This leaves significant gaps for proper tool invocation in a crowded toolset.

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 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't mention parameters, which is appropriate. A baseline of 4 is applied as it correctly omits unnecessary parameter details, though it doesn't add 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 'Focus the next presentation' restates the tool name 'focus_next_presentation' almost verbatim, making it tautological. It specifies a verb ('focus') and resource ('presentation'), but lacks differentiation from siblings like 'focus_presentation', 'focus_active_presentation', or 'focus_previous_presentation'. The purpose is vague about what 'focus' entails in this context.

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. With many sibling tools like 'focus_presentation', 'focus_active_presentation', and 'focus_previous_presentation', the description fails to indicate context, prerequisites, or distinctions. This omission could lead to incorrect tool selection by an AI agent.

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 full burden. It states the tool focuses without triggering, which is useful behavioral context. However, it doesn't disclose other important traits: whether this requires specific permissions, what 'focus' means operationally (e.g., makes it active for editing vs. just selects it), or what happens if the presentation is already focused. For a mutation-like tool with zero annotation coverage, this is insufficient.

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, efficient sentence that directly states the tool's purpose. It's front-loaded with no wasted words, making it easy to parse quickly. Every word earns its place by conveying essential information about what the tool does and what it doesn't do.

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 has one parameter with full schema coverage and no output schema, the description provides basic purpose but lacks depth. For a tool that likely changes system state (focusing), the absence of annotations means the description should cover more behavioral aspects like side effects, permissions, or error conditions. It's minimally adequate but has clear gaps for a state-changing operation.

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% with one parameter clearly documented as 'The UUID of the presentation to focus'. The description doesn't add any parameter information beyond what the schema provides. With high schema coverage, the baseline score of 3 is appropriate since 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 'Focus a presentation without triggering it' clearly states the action (focus) and resource (presentation), and distinguishes it from triggering operations. However, it doesn't explicitly differentiate from similar tools like 'focus_active_presentation' or 'focus_next_presentation' in the sibling list, which would require more specific scope information.

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 specifying 'without triggering it', suggesting this is for selection/preparation rather than activation. However, it doesn't provide explicit guidance on when to use this versus alternatives like 'focus_active_presentation' or 'trigger_presentation', nor does it mention prerequisites or 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?

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Focus the previous presentation' implies a state-changing operation, but it doesn't specify whether this requires permissions, what happens to the currently focused presentation, whether it's reversible, or if there are side effects. For a mutation tool with zero annotation coverage, this leaves critical behavioral traits undisclosed.

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, efficient sentence with zero wasted words. It's appropriately sized for a zero-parameter tool and front-loads the core action. Every word earns its place, making it highly concise and well-structured for quick comprehension.

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 implied by sibling tools and the lack of annotations or output schema, the description is incomplete. It doesn't explain what 'focus' entails operationally, what 'previous' means in context, or what the expected outcome is. For a tool that likely changes system state among many alternatives, more context is needed to guide proper 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 tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description doesn't add parameter semantics because none exist, which is appropriate. A baseline of 4 is applied since the schema fully covers the parameter landscape (none), and the description doesn't need to compensate.

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 'Focus the previous presentation' is essentially a tautology that restates the tool name with minimal elaboration. It specifies the action (focus) and resource (previous presentation), but doesn't clarify what 'focus' means operationally or how it differs from similar tools like 'focus_presentation' or 'focus_active_presentation' in the sibling list. The purpose is stated but lacks meaningful differentiation 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?

No guidance is provided on when to use this tool versus alternatives. With many sibling tools like 'focus_presentation', 'focus_active_presentation', and 'focus_next_presentation', the description offers no context about prerequisites, timing, or what constitutes a 'previous' presentation. The agent must infer usage from the name alone, which is insufficient for informed tool selection.

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 full burden. It states a read operation ('Get'), implying non-destructive behavior, but doesn't disclose any behavioral traits such as permissions needed, rate limits, error conditions, or what 'active' means contextually. For a tool with zero annotation coverage, this is a significant gap in transparency.

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, clear sentence with zero waste: 'Get the currently active presentation'. It is front-loaded and appropriately sized for a simple, parameterless tool. Every word earns its place, making it highly efficient and easy to parse.

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 simplicity (0 parameters, no output schema, no annotations), the description is adequate but has clear gaps. It states the purpose concisely but lacks behavioral context and usage guidelines. For a read operation in a complex sibling environment, more guidance would enhance completeness, but it meets the minimum viable threshold.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter details, and it correctly implies no inputs are required. This meets the baseline for high schema coverage with no parameters, earning a score above the minimum.

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 'Get the currently active presentation' clearly states the action (get) and resource (active presentation). It distinguishes from siblings like 'get_presentation' (general) and 'get_focused_presentation' (focused vs active), but doesn't explicitly contrast them. The purpose is specific but lacks explicit sibling differentiation for a perfect score.

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 'get_focused_presentation' or 'get_presentation'. The description implies usage for retrieving the active presentation, but offers no context on prerequisites, timing, or exclusions. This leaves the agent without clear decision criteria among similar tools.

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 full burden for behavioral disclosure. While 'Get' implies a read operation, the description doesn't specify whether this requires specific permissions, what happens if no presentation is active, whether the index is zero-based or one-based, or what format the return value takes. For a tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

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, efficient sentence that communicates the core purpose without any wasted words. It's front-loaded with the essential information and doesn't include unnecessary elaboration or redundant phrasing.

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 read operation with no parameters, the description is minimally adequate but lacks important context. With no output schema and no annotations, the description doesn't explain what format the index returns (integer? string? zero-based?), what happens if no presentation is active, or whether this requires specific application state. Given the complexity of the sibling tool ecosystem, more guidance would be helpful.

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 tool has zero parameters, and schema description coverage is 100% (though trivial since there are no parameters). The description appropriately doesn't discuss parameters since none exist, which is correct for this case. No additional parameter information is needed or provided.

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 ('Get') and target resource ('index of the current slide within the active presentation'), making the purpose immediately understandable. It distinguishes itself from sibling tools like 'get_active_presentation' or 'get_presentation' by focusing specifically on slide index rather than presentation details.

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. With numerous sibling tools available (like 'get_active_presentation', 'get_focused_presentation', 'get_presentation', 'get_timeline_status'), there's no indication of when this specific slide index retrieval is appropriate versus other presentation-related queries.

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 states 'Get' which implies a read operation, but doesn't specify if it's real-time, cached, requires permissions, or has side effects. For a tool with zero annotation coverage, this is insufficient.

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, efficient sentence with no wasted words. It's front-loaded with the core action. However, it could be slightly more informative without losing conciseness.

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 no annotations, no output schema, and a simple but vague purpose, the description is incomplete. It doesn't explain what 'chord chart information' includes, how it's returned, or behavioral context, making it inadequate for effective tool 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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param info, which is appropriate here, but it doesn't compensate for any gaps since there are none. Baseline is 4 for 0 params.

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 'Get the current chord chart information' clearly states the verb ('Get') and resource ('chord chart information'), but it's vague about what 'chord chart information' entails and doesn't differentiate from its sibling 'get_chord_chart_updates'. It provides a basic purpose but lacks specificity.

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 like 'get_chord_chart_updates' or other presentation-related tools. It lacks context about prerequisites, timing, or exclusions, leaving usage unclear.

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 full burden for behavioral disclosure. The description reveals nothing about whether this is a read/write operation, what permissions might be needed, whether it returns real-time updates or historical data, or what format the output takes. 'Get' suggests a read operation, but without further context, the behavioral characteristics remain completely opaque.

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 ('Get chord chart updates') but arguably under-specified rather than efficiently informative. While it's front-loaded (the entire description is in three words), it lacks the substance needed to be truly helpful. The brevity comes at the cost of meaningful content.

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 tool with no parameters, no annotations, and no output schema, the description provides minimal context. It identifies the resource ('chord chart updates') but doesn't explain what these updates are, how they're structured, or what the tool actually returns. Given the complete lack of structured metadata, the description should do more to compensate but fails to provide adequate operational 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 tool has zero parameters (schema coverage 100%), so there are no parameters to document. The description doesn't need to compensate for any parameter documentation gaps. While it could theoretically mention that no parameters are required, the absence of parameters is adequately covered by the structured 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 'Get chord chart updates' is a tautology that essentially restates the tool name. It uses the verb 'Get' but doesn't specify what 'chord chart updates' actually are or what operation is performed. While it distinguishes from most siblings (which focus on announcements, audio, presentations, etc.), it doesn't clarify what differentiates it from 'get_chord_chart' (a sibling tool).

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. There's no mention of context, prerequisites, or comparison with sibling tools like 'get_chord_chart'. Without any usage instructions, an agent would struggle to determine appropriate invocation 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 for behavioral disclosure. While 'Get' implies a read operation, the description doesn't specify what 'currently focused presentation' means in this context, whether it returns metadata or content, error conditions, or any performance characteristics. It provides minimal behavioral context beyond the basic operation.

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, efficient sentence that communicates the core functionality without any wasted words. It's perfectly front-loaded with the essential information and contains no unnecessary elaboration or redundancy.

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 read operation with no parameters and no output schema, the description provides the minimum viable information. However, given the lack of annotations and output schema, it could benefit from clarifying what 'focused' means in this context and what data is returned. It's adequate but leaves some contextual gaps.

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 tool has zero parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't mention parameters, which is correct for a parameterless tool. It earns a 4 because it doesn't waste space on non-existent parameters while maintaining clarity about the operation.

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 ('Get') and resource ('currently focused presentation'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get_active_presentation' or 'get_presentation', leaving some ambiguity about what distinguishes a 'focused' presentation from an 'active' one.

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 about when to use this tool versus alternatives like 'get_active_presentation' or 'get_presentation'. The description doesn't mention prerequisites, context requirements, or any 'when-not-to-use' scenarios, leaving the agent to 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?

No annotations are provided, so the description carries full burden. It states it's a 'Get' operation, implying read-only behavior, but doesn't disclose what 'timeline status' includes, whether it requires specific permissions, or how it interacts with the focused presentation state. The description is too minimal for a tool that likely returns structured status information.

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, efficient sentence with no wasted words. It's front-loaded with the core action and target, making it easy to parse quickly.

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 tool with no annotations, no output schema, and many sibling tools, the description is insufficient. It doesn't explain what 'timeline status' entails, how it differs from other status tools, or what the return format might be. Given the complexity implied by the sibling list, more context is needed for 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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the absence of inputs. The description doesn't need to add parameter details, but it could mention why no parameters are needed (e.g., it always targets the currently focused presentation). Baseline is 4 for zero-parameter tools.

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 ('Get') and resource ('current timeline status of the focused presentation'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_timeline_status' or 'announcement_get_timeline_status', which might have overlapping functionality.

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. With many sibling tools related to timelines and presentations, there's no indication of prerequisites, context requirements, or distinctions from similar tools like 'get_timeline_status' or 'focused_timeline_operation'.

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. While 'Get details' implies a read-only operation, the description doesn't address important behavioral aspects like what 'details' include, whether authentication is required, error handling for invalid UUIDs, or rate limits. This leaves significant gaps for a tool with no annotation coverage.

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, efficient sentence that communicates the core purpose without unnecessary words. It's appropriately sized for a simple lookup tool and front-loads the essential information ('Get details of a specific presentation').

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 read operation with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what 'details' are returned, how errors are handled, or any behavioral constraints. While the tool appears simple, the lack of output information and behavioral context creates uncertainty for proper 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 schema description coverage is 100%, with the single parameter 'presentationUuid' fully documented in the schema. The description mentions 'by UUID' which aligns with the schema but adds no additional semantic context beyond what's already in the structured data. This meets the baseline for high schema coverage.

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 a specific verb ('Get details') and resource ('presentation by UUID'), making it immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'get_active_presentation' or 'get_focused_presentation' that also retrieve presentation information, which prevents a perfect score.

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. With many sibling tools that retrieve presentation data (e.g., 'get_active_presentation', 'get_focused_presentation', 'library_get'), there's no indication of when this specific UUID-based lookup is appropriate versus other retrieval methods.

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 'Get' implies a read-only operation, it doesn't specify important behavioral aspects like authentication requirements, rate limits, error conditions, or what format the thumbnail is returned in (e.g., image data, URL, base64). For a tool that presumably returns visual data, this lack of behavioral context is a significant gap.

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 - a single sentence that communicates the core purpose without any wasted words. It's front-loaded with the essential information and contains no unnecessary elaboration or redundant phrasing.

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 tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what kind of data is returned (thumbnail format, size, etc.), doesn't clarify the tool's scope relative to similar sibling tools, and provides no behavioral context about permissions, limitations, or error handling. This leaves significant gaps for an AI agent trying to use this tool effectively.

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 mentions 'for a specific slide' which aligns with the 'index' parameter, but adds no additional semantic context beyond what's already in the schema descriptions. With 100% schema description coverage, the baseline score of 3 is appropriate - the schema already documents all parameters adequately, and the description doesn't add meaningful parameter clarification.

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 ('Get a thumbnail') and target resource ('for a specific slide in a presentation'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'playlists_get_active_presentation_thumbnail' or 'themes_get_slide_thumbnail', which appear to serve similar thumbnail retrieval functions in different contexts.

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. With multiple thumbnail-related tools in the sibling list (e.g., 'playlists_get_active_presentation_thumbnail', 'themes_get_slide_thumbnail', 'masks_get_thumbnail'), there's no indication of which context this tool applies to or what distinguishes it from those other thumbnail retrieval tools.

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. It states this is a 'Get' operation, implying it's likely read-only and non-destructive, but doesn't confirm this or mention any behavioral traits like permissions needed, rate limits, or what specific information is returned (e.g., version number, build date). For a tool with no annotations, this leaves significant 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 a single, clear sentence with no wasted words. It's appropriately sized for a simple tool and front-loaded with the essential information, making it highly efficient and easy to parse.

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 simplicity (0 parameters, no output schema, no annotations), the description is adequate but has clear gaps. It states what the tool does but lacks details on behavioral aspects (e.g., safety, return format) and usage context. For a basic read operation, this is minimally viable but could be more informative.

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 tool has 0 parameters, and the schema description coverage is 100% (since there are no parameters to describe). The description doesn't need to add parameter semantics, so it meets the baseline of 4 for tools with no parameters, as there's nothing to compensate for.

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 a specific verb ('Get') and resource ('ProPresenter version and build information'), making it easy to understand what the tool does. However, it doesn't explicitly distinguish this tool from its many siblings (e.g., other 'get_' tools like get_active_presentation, get_timeline_status), which would require a 5.

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. With 0 parameters, there's no need for parameter-based guidance, but it doesn't mention context like when version information is needed or if there are other ways to obtain similar data from sibling tools.

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 full burden for behavioral disclosure. While 'Get' implies a read operation, it doesn't specify whether this requires specific permissions, what format the status returns, or if there are any rate limits or side effects. The description is minimal and lacks essential behavioral context for a tool with no annotation coverage.

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, clear sentence that directly states the tool's function without any unnecessary words. It's front-loaded with the core purpose and efficiently communicates what the tool does in minimal space.

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 tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what 'timeline status' entails, what data format to expect, or any behavioral constraints. Given the complexity implied by the sibling tools and the lack of structured documentation, more context is needed for 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 tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the tool's purpose. This meets the baseline expectation for parameterless tools.

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 ('Get') and target ('current timeline status of the active presentation'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from its sibling 'get_focused_timeline_status', which appears to serve a similar function for a focused rather than active presentation, leaving some ambiguity in sibling distinction.

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. With sibling tools like 'get_focused_timeline_status' and 'announcement_get_timeline_status' available, the description lacks any context about when this specific tool is appropriate, leaving the agent to infer usage from naming conventions 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?

No annotations are provided, so the description carries full burden. While 'Get all' implies a read-only operation, it doesn't disclose important behavioral aspects like whether this returns a complete list or paginated results, potential rate limits, authentication requirements, or what format the data comes in. The description is minimal and leaves key operational questions unanswered.

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, efficient sentence that states exactly what the tool does without unnecessary words. It's front-loaded with the core functionality ('Get all global groups') and provides just enough context ('configured in ProPresenter'). Every word 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 zero-parameter read operation with no output schema, the description is adequate but minimal. It tells what the tool retrieves but doesn't provide context about the return format, data structure, or how this fits within the broader ProPresenter ecosystem. Given the complexity of the sibling tool list, more context about what 'global groups' represent would be helpful.

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?

With 0 parameters and 100% schema description coverage, the schema already fully documents the lack of inputs. The description appropriately doesn't waste space discussing parameters that don't exist, maintaining focus on the tool's purpose. This earns a baseline 4 since no parameter information is needed.

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 ('Get all') and resource ('global groups configured in ProPresenter'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'clear_get_groups' or 'props_get_all' that also retrieve collections, leaving some ambiguity about what makes 'global groups' distinct.

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. With many sibling tools that retrieve different types of data (e.g., 'playlists_get_all', 'themes_get_all', 'macros_get_all'), the description offers no context about when global groups are needed or what distinguishes them from other retrievable collections.

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. It states 'Get all items' but doesn't clarify what 'items' are (e.g., presentations, media files), whether this is a read-only operation, if it requires specific permissions, how results are returned (e.g., pagination, format), or potential side effects. This leaves critical behavioral traits unspecified for a tool that likely interacts with a library system.

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, efficient sentence: 'Get all items in a specific library'. It is front-loaded with the core action and resource, with no wasted words or redundant phrasing. This makes it easy to parse and understand quickly.

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 of a library system with many sibling tools, no annotations, and no output schema, the description is incomplete. It lacks details on what 'items' entail, the return format, error conditions, or how it differs from similar retrieval tools. This makes it inadequate for an agent to use the tool effectively without additional context or trial-and-error.

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 100% description coverage, with 'libraryId' documented as 'The ID of the library (UUID, name, or index)'. The description adds no additional parameter semantics beyond this, such as examples of valid IDs or how 'all items' are filtered. Given the high schema coverage, the baseline score of 3 is appropriate, as the schema adequately defines the parameter.

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 'Get all items in a specific library' clearly states the verb ('Get') and resource ('items in a library'), making the purpose understandable. However, it doesn't distinguish this tool from sibling tools like 'library_get_libraries' (which likely gets libraries themselves rather than items within them) or other 'get_' tools that retrieve different resources, leaving the differentiation implicit rather than explicit.

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. With many sibling tools (e.g., 'library_get_libraries', 'get_presentation', 'playlists_get'), there's no indication of context, prerequisites, or exclusions. The agent must infer usage from the tool name and schema alone, which is insufficient for optimal selection.

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. It states it 'gets a list' but doesn't clarify if this is a read-only operation, what permissions might be needed, whether it returns all data at once or paginates, or what format the list takes. For a 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 a single, efficient sentence that directly states the tool's purpose without any fluff. It's appropriately sized for a simple list-retrieval operation and front-loads the essential 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 simplicity (0 parameters, no output schema), the description is minimally adequate. However, with no annotations and no output schema, it doesn't provide enough context about the return format (e.g., structure of the list, data fields included) or behavioral aspects like error handling. For a tool in a complex server with many siblings, more completeness would be helpful.

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 tool has 0 parameters, and schema description coverage is 100% (though trivial since there are no parameters). The description doesn't need to explain parameters, and it correctly implies no inputs are required. A baseline of 4 is appropriate for parameterless tools where the schema fully covers the absence of 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 action ('Get a list') and the resource ('all configured libraries'), making the purpose immediately understandable. However, it doesn't differentiate this tool from potential siblings like 'library_get' (which might retrieve a single library) or 'library_trigger_presentation' (which appears to be a different action), so it doesn't reach the highest score.

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. With many sibling tools in the server (e.g., 'library_get', 'library_trigger_presentation'), there's no indication of when this list-retrieval tool is appropriate versus other library-related operations, leaving the agent to guess based on naming 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?

No annotations are provided, so the description carries full burden. It mentions 'Trigger' which implies an action that may start or activate something, but doesn't disclose behavioral traits like whether this is destructive, requires specific permissions, has side effects (e.g., affecting other presentations), or what happens on success/failure. This leaves significant gaps for a tool that likely initiates a presentation.

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, efficient sentence that directly states the tool's purpose without any fluff. It is front-loaded and appropriately sized, making it easy to parse quickly.

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 of triggering a presentation (likely a mutation with potential side effects), no annotations, and no output schema, the description is incomplete. It doesn't explain what 'triggering' entails, the expected outcome, error conditions, or how it interacts with other tools, leaving the agent with insufficient context 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?

Schema description coverage is 100%, so the schema fully documents the two parameters (libraryId and presentationId). The description adds no additional meaning beyond what the schema provides, such as format details or usage context. Baseline 3 is appropriate as the schema handles parameter documentation adequately.

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 ('Trigger') and resource ('first cue of a presentation in a library'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools like 'library_trigger_presentation_cue' or 'trigger_presentation_cue', which might handle specific cues rather than just the first one, but the distinction is somewhat implied by the wording.

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. With many sibling tools involving presentations and triggers (e.g., 'trigger_presentation', 'library_trigger_presentation_cue', 'playlists_trigger_active_presentation'), the description lacks context on prerequisites, timing, or comparisons, leaving usage unclear.

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. It mentions 'trigger' but does not specify effects (e.g., whether it starts playback, changes slides, or requires specific permissions), potential side effects, or error conditions. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence that directly states the tool's function without unnecessary words. It is front-loaded and wastes no space, making it easy to parse quickly.

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 of triggering a cue (a mutation operation), lack of annotations, and no output schema, the description is incomplete. It does not explain what 'trigger' entails behaviorally, what happens on success or failure, or any dependencies, leaving significant gaps for the agent to operate safely.

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 fully documents the three parameters (libraryId, presentationId, index). The description adds no additional semantic context beyond implying the parameters are used to identify the cue, which is already clear from the schema. This meets the baseline for high schema coverage.

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 ('trigger') and target ('a specific cue of a presentation in a library'), making the purpose understandable. However, it does not explicitly differentiate from sibling tools like 'trigger_presentation_cue' or 'library_trigger_presentation', which might handle similar operations without the library context or with different scopes.

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. With many sibling tools involving triggering cues or presentations (e.g., 'trigger_presentation_cue', 'library_trigger_presentation'), the description lacks context on prerequisites, exclusions, or comparisons, leaving the agent to 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 full burden for behavioral disclosure. It states it 'gets details' which implies a read operation, but doesn't mention permissions, rate limits, error conditions, or what 'details' specifically includes. For a 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 a single, efficient sentence that states the core purpose without unnecessary words. It's appropriately sized for a simple lookup tool and front-loads the essential 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?

For a simple read operation with one parameter and no output schema, the description is minimally adequate. However, without annotations or output schema, it should ideally provide more context about what 'details' includes or typical use cases. The completeness is borderline for the tool's complexity level.

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 input schema already fully documents the single 'id' parameter. The description doesn't add any parameter semantics beyond what's in the schema, but doesn't need to compensate for gaps either. This meets the baseline for high schema coverage.

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 ('Get details') and target resource ('a specific audience look'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'looks_get_all' or 'looks_get_current', which would require a 5.

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 like 'looks_get_all' or 'looks_get_current'. There's no mention of prerequisites, exclusions, or comparative context with sibling tools.

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 states the tool retrieves a list, implying a read-only operation, but doesn't disclose behavioral traits such as permissions needed, rate limits, response format, or whether it's paginated. The description is minimal and lacks crucial operational details.

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, efficient sentence that front-loads the key information ('Get a list of all configured audience looks') and adds a clarifying exclusion ('except the live look'). There is no wasted verbiage, making it highly concise and well-structured.

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 of retrieving a list of looks, no annotations, and no output schema, the description is incomplete. It doesn't explain what 'configured audience looks' entails, the format of the returned list, or any error conditions. For a tool with potential variability in output, more context is needed.

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 tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter semantics, but this is acceptable given the lack of parameters, warranting a baseline score of 4.

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 ('Get a list') and resource ('all configured audience looks'), making the purpose understandable. It distinguishes from siblings like 'looks_get' and 'looks_get_current' by specifying 'all configured' and excluding 'the live look', though it could be more explicit about how it differs from 'looks_get'.

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 excluding 'the live look', suggesting this tool is for retrieving non-live looks. However, it doesn't explicitly state when to use this versus alternatives like 'looks_get' or 'looks_get_current', nor does it provide context about prerequisites or timing.

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 states it's a 'Get' operation, implying read-only behavior, but doesn't specify what 'details' include, whether it requires specific permissions, or how it handles cases where no look is live. This leaves significant gaps for a tool that interacts with live audience content.

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, efficient sentence that directly states what the tool does without any unnecessary words. It's front-loaded with the core action and resource, making it immediately understandable.

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 tool that retrieves 'details' of a live audience look with no output schema, the description is insufficient. It doesn't specify what details are returned, the format of the response, or how to interpret the output. Given the complexity of audience look data and the lack of annotations, more context about the return value would be helpful.

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 tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the lack of inputs. The description appropriately doesn't waste space discussing parameters, maintaining focus on the tool's purpose. A baseline of 4 is appropriate for zero-parameter tools.

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 ('Get') and the resource ('currently live audience look'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'looks_get' or 'looks_get_all', which might retrieve multiple looks rather than just the current live one.

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 like 'looks_get' or 'looks_get_all'. There's no mention of prerequisites, context requirements, or specific scenarios where this tool is preferred over others.

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. While 'trigger' implies a state-changing action, the description doesn't specify whether this requires special permissions, if it's reversible, what side effects occur (e.g., does it interrupt other looks?), or the expected response format. For a mutation tool with zero annotation coverage, this leaves critical behavioral traits undocumented.

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, efficient sentence that front-loads the core action and outcome without unnecessary words. Every part of the sentence ('Trigger a specific audience look to make it live/current') directly contributes to understanding the tool's purpose, making it appropriately concise and well-structured.

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 as a mutation operation with no annotations and no output schema, the description is insufficiently complete. It lacks details on behavioral traits (e.g., permissions, side effects), usage context, and expected outcomes. While the schema covers the parameter, the overall context for safe and effective use is poorly addressed, especially compared to sibling tools that may have similar triggering functions.

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 100% description coverage, with the single parameter 'id' documented as 'The ID of the look to trigger.' The description adds no additional parameter semantics beyond what the schema provides, such as format examples or where to obtain the ID. Given the high schema coverage, a baseline score of 3 is appropriate, as 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 action ('trigger') and the resource ('a specific audience look'), and specifies the outcome ('to make it live/current'). It distinguishes itself from sibling tools like 'looks_get' or 'looks_get_current' by focusing on activation rather than retrieval. However, it doesn't explicitly differentiate from other 'trigger' tools (e.g., 'announcement_trigger_active') beyond the resource type.

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 prerequisites (e.g., whether the look must exist or be prepared), what happens if the look is already live, or how it relates to other triggering tools for different resources (e.g., presentations or announcements). Without this context, the agent must infer usage from the tool name and sibling list 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 full burden but only states it's a read operation ('Get'). It doesn't disclose behavioral aspects like error handling, response format, authentication needs, or rate limits. For a tool with no annotations, this leaves significant 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 a single, clear sentence with zero wasted words. It's appropriately sized for a simple retrieval tool and front-loads the essential 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?

For a simple read operation with one well-documented parameter, the description is minimally adequate. However, with no annotations and no output schema, it should ideally provide more context about what 'details' are returned or how errors are handled, but the simplicity of the tool keeps it from being severely incomplete.

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 fully documents the single 'id' parameter. The description doesn't add any parameter information beyond what's in the schema, which is acceptable given the high coverage, resulting in the baseline score.

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 ('Get details') and resource ('a specific macro'), making the purpose immediately understandable. However, it doesn't differentiate from sibling 'macros_get_all', which retrieves all macros rather than a specific one.

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 about when to use this tool versus alternatives like 'macros_get_all' or other macro-related tools. The description doesn't mention prerequisites, context, or exclusions for usage.

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 full burden. It states a read operation ('Get'), implying it's non-destructive, but doesn't disclose behavioral traits like pagination, rate limits, permissions needed, or what 'configured macros' entails. For a tool with zero annotation coverage, this leaves significant 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 a single, efficient sentence with no wasted words. It's front-loaded and directly states the tool's purpose without unnecessary elaboration.

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 simplicity (0 parameters, no output schema, no annotations), the description is adequate but minimal. It covers the basic purpose but lacks context about the return format (e.g., list structure, fields included) and behavioral details, which would be helpful for an agent to use it effectively.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the input (none). The description adds no parameter information, which is acceptable here as there are no parameters to explain. Baseline is 4 for 0 parameters, as it doesn't need to compensate for any gaps.

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 ('Get') and resource ('list of all configured macros'), making the purpose unambiguous. However, it doesn't differentiate from its sibling 'macros_get' (which likely fetches a specific macro), so it doesn't reach the highest score.

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 'macros_get' or other list-retrieval tools. The description is standalone without context about prerequisites or 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Trigger a specific macro' implies a write/mutation action but doesn't specify effects (e.g., whether it executes immediately, requires permissions, has side effects, or returns confirmation). It lacks details on error handling, rate limits, or what 'triggering' entails operationally, leaving critical behavioral traits undocumented.

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, 'Trigger a specific macro', which is front-loaded and wastes no words. While it may be under-specified, it earns full marks for conciseness as every word contributes directly to the core action, with no redundant or verbose phrasing.

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 as a mutation tool (implied by 'trigger'), lack of annotations, no output schema, and incomplete behavioral context, the description is insufficient. It doesn't explain what happens after triggering, potential errors, or integration with sibling tools. For a tool that likely performs an important action in a system with many components, more completeness is needed to guide 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 input schema has 100% description coverage, with the 'id' parameter fully documented in the schema as 'The ID of the macro to trigger'. The description adds no additional parameter semantics beyond this, such as format examples or sourcing instructions. Given the high schema coverage, the baseline score of 3 is appropriate, as the schema handles the parameter documentation adequately.

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 'Trigger a specific macro' is a tautology that essentially restates the tool name 'macros_trigger'. It provides the verb 'trigger' and resource 'macro', but lacks specificity about what triggering entails (e.g., execution, activation, or running a predefined sequence). It doesn't differentiate from sibling tools like 'macros_get' or 'macros_get_all', which are clearly read operations, leaving the purpose vague beyond the basic action.

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 prerequisites (e.g., needing a macro ID from 'macros_get' tools), exclusions, or contextual cues. With many sibling tools like 'trigger_active_presentation' or 'playlists_trigger', there's no indication of how 'macros_trigger' fits into the broader workflow, making usage unclear.

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 'Get details' implies a read-only operation, it doesn't explicitly state this or mention any other behavioral traits like authentication requirements, rate limits, error conditions, or what 'details' specifically includes. For a tool with zero annotation coverage, this is inadequate.

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, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a simple retrieval tool and front-loads the essential 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 simplicity (single parameter, 100% schema coverage, no output schema), the description is minimally adequate but lacks important context. Without annotations or output schema, it should clarify what 'details' are returned and the tool's safety profile. The description meets basic needs but leaves gaps that could hinder 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 schema description coverage is 100%, with the single parameter 'id' clearly documented as 'The ID of the mask' in the schema. The description doesn't add any additional meaning beyond this, such as format examples or where to find mask IDs. With high schema coverage, the baseline score of 3 is appropriate.

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 ('Get details') and resource ('a specific mask'), making the purpose immediately understandable. However, it doesn't distinguish this tool from its sibling 'masks_get_all' (which presumably lists all masks), missing an opportunity for sibling differentiation that would warrant a score of 5.

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. There's no mention of when this tool is appropriate (e.g., when you have a specific mask ID) versus when to use 'masks_get_all' (for listing all masks), nor any prerequisites or 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?

No annotations are provided, so the description carries full burden. 'Get' suggests a read operation, but it doesn't disclose behavioral traits like whether it returns a list, pagination, rate limits, permissions needed, or format of returned data. For a tool with zero annotation coverage, this is a significant gap.

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, efficient sentence with zero waste. It's front-loaded and appropriately sized for a simple retrieval tool.

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 no annotations and no output schema, the description is incomplete. It lacks details on return format, data structure, or any behavioral context needed for effective use, making it inadequate despite the simple nature.

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 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param info, which is appropriate, earning a baseline 4 as it doesn't need to compensate for any gaps.

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 'Get all masks in the library' clearly states the verb ('Get') and resource ('masks'), with 'all' specifying scope. It distinguishes from sibling 'masks_get' (likely gets a specific mask) by implying retrieval of all items, though not explicitly naming the alternative.

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 on when to use this tool versus alternatives like 'masks_get' or other library retrieval tools. The description implies it's for bulk retrieval but doesn't specify contexts, prerequisites, or 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 full burden for behavioral disclosure. It states it 'gets' a thumbnail (implying a read operation), but doesn't mention any behavioral traits like authentication requirements, rate limits, error conditions, or what format the thumbnail is returned in. For a tool with zero annotation coverage, this leaves significant 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 a single, efficient sentence that communicates the core purpose without any wasted words. It's appropriately sized for a simple tool and front-loads the essential 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?

For a tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what the thumbnail output looks like (format, size, encoding), whether this requires specific permissions, or how errors are handled. The context signals indicate this is a simple single-parameter tool, but the description should provide more operational 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 schema description coverage is 100%, so the schema already fully documents the single 'id' parameter. The description doesn't add any additional semantic context about the parameter beyond what's in the schema (e.g., where to find mask IDs, format requirements, or examples). Baseline 3 is appropriate when schema does the documentation 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 action ('Get thumbnail') and the target resource ('for a specific mask'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'masks_get' or 'masks_get_all', but those are clearly different operations (getting mask data vs getting thumbnails).

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. There are several thumbnail-related sibling tools (e.g., 'playlists_get_thumbnail', 'props_get_thumbnail', 'themes_get_slide_thumbnail'), but no indication of when this specific mask thumbnail tool is appropriate versus those other thumbnail tools.

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 states the action ('clear/hide') but doesn't explain what 'clear' or 'hide' means operationally—e.g., whether this is reversible, if it affects other messages or system states, or what permissions are required. 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, efficient sentence with zero waste. It front-loads the core action and resource, making it easy to parse quickly. Every word earns its place without redundancy.

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 no annotations and no output schema, the description is incomplete. It doesn't clarify the behavioral impact (e.g., reversibility, side effects) or provide usage context relative to siblings. Given the complexity of message management in this system, more detail is needed to guide effective tool selection.

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 100% description coverage, with 'messageId' clearly documented as 'The ID of the message to clear/hide'. The description adds no additional parameter semantics beyond this, but the schema provides adequate baseline information, justifying a score of 3.

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 ('Clear/hide') and the target resource ('a specific message'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'messages_delete' or 'stage_hide_message', which might have similar functions but different scopes or effects.

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 like 'messages_delete' or 'stage_hide_message'. It lacks context about prerequisites, such as whether the message must be visible or in a specific state, or what distinguishes 'clear' from 'delete' in this system.

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