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

With no annotations, the description provides transparency about outputs (PNG + JSON) but lacks detail on side effects, permissions, or whether GarageBand is modified. It implies a capture operation but doesn't confirm read-only nature.

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 is concise but too brief given the tool's complexity (7 parameters, no schema descriptions). It omits critical parameter details, making it under-specified rather than 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?

The description is inadequate for a tool with 7 parameters, no output schema, and no annotations. It does not explain parameters, output format, or behavior, leaving the agent unable to invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description fails to explain any of the 7 parameters (e.g., max_depth, include_grid, limit). The agent receives no useful guidance beyond output files mentioned.

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 captures an annotated screenshot of GarageBand with numbered UI targets and a JSON click map, distinguishing it from sibling `garageband_screenshot` which likely produces a plain screenshot.

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 `garageband_screenshot`. No context on prerequisites (e.g., GarageBand must be running) 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 alone must disclose behavioral traits. It mentions OCR and output creation but does not indicate side effects (e.g., file overwriting, permissions, resource usage). The required output_path suggests file creation but no detail on overwrite behavior or format. For a tool with 15 parameters, more transparency is needed.

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 concise sentence of 23 words, efficiently conveying the core purpose. However, given the tool's complexity, a slightly more structured summary with parameter hints could improve usability.

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?

The tool has 15 parameters and no output schema, yet the description is a single sentence with no context on workflow, prerequisites, or output. It lacks completeness for effective agent 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?

With only 13% schema description coverage, the description should provide parameter guidance. It does not mention any of the 15 parameters (e.g., image_path/image_url, bpm, style, tuning). The single sentence only states the overall process, leaving the agent to guess parameter usage. This is a critical gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool uses OCR to extract tab from an image or URL and creates an arranged MIDI. It specifies the resource (local image or URL) and output type (guitar/bass/drums arrangement MIDI), which distinguishes it from sibling tools like garageband_image_to_midi and garageband_arrange_tab_to_midi.

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 over alternatives. It lacks any 'when to use' or 'when not to use' statements. Given many sibling tools (e.g., garageband_image_to_midi, garageband_arrange_tab_to_midi), the agent needs more context to choose correctly.

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 provided, so description must carry full behavioral burden. It does not disclose file creation behavior, overwrite policy, tempo detection logic, or any side effects. Simply states output format without behavioral specifics.

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?

Extremely concise (12 words) but at the expense of completeness. For a tool with 13 parameters and no annotations, the description should be longer to cover essential details. It is a single sentence, which is inefficient given the complexity.

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 high number of parameters, lack of output schema, and no annotations, the description fails to provide complete context. Missing details like expected tab format, tempo detection, output file characteristics, and instrument arrangement logic.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 15% (only bpm and tuning have descriptions). The description adds no parameter-level details; it merely restates the overall purpose. For 13 parameters, this is inadequate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states conversion of ASCII guitar tab to a GarageBand-importable MIDI arrangement with guitar, bass, and drums parts. It uses a specific verb ('convert') and resource ('six-line ASCII guitar tab'), and hints at arrangement capability distinguishing it from simpler siblings like garageband_tab_to_midi, but does not explicitly contrast.

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 (e.g., garageband_tab_to_midi for simpler conversion, or garageband_image_to_tab for image input). No context about prerequisites or limitations.

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

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

With no annotations, the description bears full burden. It discloses that frame count is reported only 'when available' (partial availability), but does not address failure modes (e.g., unsupported format, missing file) or side effects. The read-only nature is implied but not explicit.

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 that efficiently lists all key attributes. No redundant words; every part adds 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?

The description lists the reported fields but does not specify the output structure (e.g., JSON object). With no output schema, more detail on the return format would improve completeness. However, the listed fields give a basic understanding.

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 coverage is 0%. The description mentions 'exported audio file' for context but does not specify the expected format of the 'path' parameter (e.g., absolute/relative path, file://). This leaves ambiguity for the agent.

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 uses a specific verb ('inspect') and resource ('exported audio file'), and lists the exact attributes reported. This clearly distinguishes it from sibling tools like 'garageband_midi_info' which inspect MIDI files.

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 for inspecting exported audio files but lacks explicit guidance on when to use this tool versus alternatives or prerequisites (e.g., file must exist). No exclusions or alternative tools are mentioned.

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 provided, so the description carries full burden. It describes a read-like operation returning data, but does not disclose side effects, rate limits, or idempotency. The term 'live' hints at dynamic state but is not elaborated.

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, no redundancy, directly conveys purpose. Could be improved by adding brief usage guidance without increasing length significantly.

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?

No output schema; description lists returned items but does not specify their structure (e.g., is 'feature map' a JSON object? what keys?). For a meta-capability tool, agents need to understand the return format to utilize 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?

Schema coverage is 0% and the description does not explain the only parameter 'include_live' (boolean with default true). The parameter name is somewhat self-descriptive but the tool offers no additional context, failing to compensate for the lack of schema description.

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 explicitly states the tool returns specific resources: 'live feature map, safe operating loop, limits, and recipe catalog'. This clearly differentiates it from siblings which are action-oriented (e.g., garageband_loop_search, garageband_transport).

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 instructions on when to use this tool versus alternatives. It is implied that this tool provides background context for other operations, but the description lacks direct guidance such as 'call this first to get capabilities before performing actions'.

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

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It only states the basic action, omitting details like prerequisites (e.g., menu must be visible), error handling for invalid paths, or whether the tool waits for the menu to appear.

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, front-loaded sentence that delivers all necessary information without any fluff. Every word earns its place, making it highly efficient for an AI agent 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 simple one-parameter tool with no output schema, the description is minimally sufficient. However, it lacks context on return values, side effects, or success criteria, which would help an agent use it more confidently despite the simple action.

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 provides no description for the 'path' parameter (0% coverage), so the description must compensate. It does so effectively by explaining that the path uses a '>' separator and providing two realistic examples, clarifying the expected format beyond the raw string type.

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 ('Click a menu item by path') and provides concrete examples ('File > Open...', 'View > Show Loop Browser'). This specificity distinguishes it from sibling tools like garageband_click_ui or garageband_click_ui_path, which target UI elements rather than menu items.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no indication of when to use this tool over alternatives, nor does it state when not to use it. With many sibling tools for different click actions, such guidance is critical but absent.

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 provided, yet description only states basic action. Does not disclose behavior for multiple matches, no-match, or how allow_first parameter affects clicking. No mention of destructive nature, auth needs, or rate limits.

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?

Extremely concise (11 words) but at the cost of completeness. Every sentence should earn its place; this single sentence omits essential parameter and behavioral info.

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?

With 5 parameters and no output schema, the description lacks details on parameter meanings, return behavior, edge cases (e.g., multiple matches, no match, disabled items). Completely inadequate for a tool of this complexity.

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 coverage is 0%; description provides no explanation for any of the 5 parameters (query, enabled_only, max_depth, top_menu, allow_first). Agent cannot infer correct usage from description alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states verb ('Search' and 'click'), resource ('GarageBand menus'), and condition ('unique matching enabled menu item'). Distinguishes from siblings like garageband_find_menu_items (which only finds) and garageband_click_menu (which likely clicks by path, not search).

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 vs. alternatives (e.g., garageband_find_menu_items or garageband_click_menu). Does not state prerequisites or preferred 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?

Annotations are absent, so the description must bear full behavioral disclosure. It mentions 'first visible' but does not explain what 'visible' means, what happens if no control is found, or whether the click triggers any side effects. The action is clear, but deeper behavioral traits are missing.

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 sentence of 13 words, conveying the core action and matching criteria without any fluff. It is optimally concise and front-loaded.

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 3 parameters, no annotations, and no output schema, the description lacks completeness. It does not specify return behavior, error handling (e.g., no matching element), or the meaning of 'visible.' Contextual details are minimal, leaving an agent to guess about edge cases.

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 explains name and role (optional), but does not mention the exact parameter. With 0% schema description coverage, the description should clarify all parameters. The meaning of exact (whether to match exactly) is left to inference, which is insufficient.

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 ('Click') and the resource ('first visible GarageBand UI control matching a name and optional Accessibility role'). It distinguishes from siblings like garageband_click_menu (which likely clicks a menu) and garageband_click_ui_search (which searches then clicks) by specifying the matching criteria.

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 multiple sibling click tools (e.g., garageband_click_menu, garageband_click_ui_path), the description should explicitly state the use case, such as 'Use this when you have a UI element name and want to click the first visible match.'

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 must disclose behavioral traits. It only states 'Click', implying a destructive action, but does not explain side effects (e.g., opening dialogs, state changes) or prerequisites. This is insufficient 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, compact sentence with no unnecessary words. It effectively conveys the essential information in a front-loaded manner.

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 (one parameter, no output schema), the description covers the input source. However, it omits return value (e.g., success/failure) and error handling, making it somewhat incomplete for an agent to fully understand the tool's behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter 'path' has 0% schema description coverage, but the description adds value by indicating it comes from garageband_ui_snapshot. This gives context beyond the schema, though it does not specify the path format, leaving some ambiguity.

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 ('Click') and the resource ('GarageBand UI element') and specifies the input mechanism ('by path returned by garageband_ui_snapshot'). This distinguishes it from sibling tools like garageband_click_ui or garageband_click_menu, which use different identification methods.

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 after taking a snapshot with garageband_ui_snapshot, providing clear context for when to use this tool. However, it does not explicitly exclude alternatives or state when not to use it, missing full guidance.

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

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

The description hints at behavior (searches and clicks only if unique and enabled), but does not cover error handling (multiple/no matches), waiting, or side effects. No annotations are provided, so description carries burden but 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 sentence that efficiently conveys the core idea, but it omits important details. It is concise but under-specified for the complexity of the 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?

With 5 undocumented parameters, no output schema, no annotations, and many sibling tools, the description fails to provide complete context. Agent lacks information on parameter meanings, return values, and edge cases.

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 coverage is 0%, and the description does not explain any of the 5 parameters (query, role, enabled_only, max_depth, allow_first). Agent must guess parameter purposes, which is highly insufficient.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it searches visible GarageBand controls and clicks the unique matching enabled UI element, providing a specific verb-resource-outcome. However, it does not differentiate from similar sibling tools like 'garageband_ui_search_action' or 'garageband_click_ui'.

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 'garageband_find_ui_elements' or 'garageband_click_ui'. The description implies usage for search-and-click, but lacks explicit context 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, the description must convey all behavioral traits. It discloses that the tool clicks 'Don't Save' only when discard is true, but fails to describe the behavior when false (e.g., does nothing, clicks 'Save', or errors). No mention of side effects or 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 very concise at two sentences, with no redundant information. However, it could be slightly improved by adding a word about the false case without becoming verbose.

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 tool with one boolean parameter, the description is partially sufficient. It explains the main action but omits the behavior when discard is false. Given no output schema, completeness could be better.

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 has 0% parameter description coverage, so the description must compensate. It adds meaning by linking 'discard' to clicking 'Don't Save', but does not clarify the false case, leaving the parameter's full semantics undefined.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool's purpose: dismissing GarageBand's save confirmation prompt. It specifies the action ('clicks Don't Save') and the condition ('when discard is true'). However, it does not state what happens when discard is false, 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?

No explicit guidance on when to use this tool versus sibling tools like garageband_click_ui. The description does not mention prerequisites, such as the save prompt needing to be present, or 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, the description is the sole source. It states it opens a dialog, which is non-destructive, but lacks details on side effects or state changes. Adequate but minimal.

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 no extraneous words. The main action is front-loaded, and it efficiently conveys the tool's 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 parameters or output schema, the description covers the essential: what dialog is opened and for which project. It could mention prerequisites like a project being open, but overall is fairly complete for a simple action.

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?

No parameters exist, so the schema provides full coverage. Baseline score of 4 is appropriate; description adds no parameter information because none 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 ('Open') and the specific resource ('GarageBand's Share > Export Song to Disk dialog') with context ('for the current project'). It distinguishes from siblings like garageband_export_song, which performs the actual export.

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 garageband_export_song. It does not specify prerequisites or 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?

No annotations are provided. The description implies GUI automation ('by driving GarageBand's export dialog'), but fails to disclose potential side effects like blocking behavior, dialog state changes, or error conditions. The description does not add behavioral context beyond what is inferred.

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 sentence, which is very concise. However, it could be slightly more structured to improve readability, such as separating the action from the mechanism.

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 6 parameters, no output schema, and no annotations, the description is insufficient. It does not explain the output file location, naming convention, or success verification, leaving the agent with many uncertainties.

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 has 0% description coverage, and the tool description adds no explanation for parameters like 'quality', 'include_cycle', 'overwrite', or 'timeout_seconds'. The enum values for 'format' are self-explanatory, but the description provides no additional meaning for any 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 clearly states the action ('Export'), the resource ('current GarageBand song'), and the target formats (AAC, MP3, AIFF, or WAVE), distinguishing it from sibling tools like garageband_export_dialog which likely just opens the dialog.

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, such as garageband_export_dialog. It also does not specify prerequisites (e.g., a song must be open) or when to prefer one format over another.

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

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

With no annotations, the description must disclose behavioral traits. It mentions 'recursive search' but does not specify if the tool is read-only, requires permissions, or has side effects. The safety profile (e.g., destructiveness) is not addressed, leaving the agent with incomplete 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 concise sentence that conveys the core purpose without extraneous information. It could be slightly expanded to cover parameters or output, but it is not verbose. Efficiency is good for a simple tool, but given the complexity, it may be too brief.

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?

The tool has five parameters, no output schema, and no parameter descriptions. The description does not mention return values (e.g., menu paths) or how to use the parameters effectively. The information provided is incomplete for an AI agent to use the tool correctly without additional 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?

Schema description coverage is 0%, and the description does not explain any parameters. The agent must infer meaning from parameter names alone (e.g., 'enabled_only', 'top_menu'). This is insufficient for a tool with five parameters, especially since some like 'enabled_only' may not be self-explanatory.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Search recursive GarageBand menu paths before clicking an exact path,' which clearly identifies the tool's action (search) and resource (menu paths). It differentiates from siblings like 'garageband_list_menus' and 'garageband_click_menu_search' by implying a preparatory step. However, it could be more explicit about what the search returns.

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 only hints at usage context ('before clicking an exact path') but provides no explicit guidance on when to use this tool versus alternatives, such as 'garageband_list_menus' or 'garageband_click_menu_search'. No when-not-to-use or sibling comparisons are given.

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

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

With no annotations, the description must disclose behavior. It mentions 'visible' and search criteria but omits important details: required permissions, result format, error handling, combination of criteria, and that query is required. 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 sentence of 12 words, which is concise. However, it lacks structure (e.g., no front-loading of purpose or bullet points for parameters). It could be more informative without adding length.

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 5 parameters, no output schema, and no annotations, the description is incomplete. It does not specify return values, behavior on empty results, or error conditions. The parameter documentation is minimal.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain parameters. It only hints that 'query' matches against listed attributes and 'role' possibly filters by role, but fails to explain enabled_only, max_depth, and limit. Five parameters are poorly documented.

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 'Search' and resource 'visible GarageBand Accessibility elements', listing specific search criteria (path, role, name, description, position). It distinguishes itself from sibling tools like garageband_find_menu_items and click tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for finding UI elements to interact with, but does not explicitly state when to use it versus alternatives or when not to use it. No exclusions or alternative tool mentions are provided.

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 provided, so the description must disclose behavior. It mentions OCR and conversion but omits potential failures, side effects, or requirements (e.g., macOS Vision OCR availability). Does not state whether output is saved directly or requires further steps.

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 concise sentence covering the core process. While efficient, it could benefit from bullet points or more structure to improve readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (11 parameters, no output schema), the description is insufficient. It lacks context on OCR accuracy, input image requirements, and parameter roles. A more complete description would explain the workflow and parameter 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?

With only 18% schema coverage, the description should explain key parameters. It doesn't mention any parameters, leaving the agent without understanding of fields like bpm, tuning, or capo beyond the schema's minimal descriptions.

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 uses macOS Vision OCR to extract tab from an image and convert to MIDI, optionally opening in GarageBand. This distinguishes it from sibling tools like garageband_image_to_tab (which outputs tab) and garageband_tab_to_midi (which takes tab as input).

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 vs alternatives (e.g., garageband_tab_to_midi for existing tab input, or image_to_tab for tab-only output). It doesn't specify prerequisites or conditions.

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. It discloses that macOS Vision OCR is used, but does not mention safety (e.g., read-only nature), potential errors, formatting requirements for the image, or what happens on failure. The tool's behavioral traits are minimally explained.

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 sentence that is concise and front-loaded with the core purpose. No unnecessary words; every part adds 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?

Given the tool has 3 optional parameters, no output schema, and no annotations, the description is insufficient. It does not specify return type, error behavior, or prerequisites (e.g., file permissions). A more complete description would include this 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?

Schema coverage is 0% for all 3 parameters. The description adds meaning for image_path and image_url ('local image path or image URL'), but does not explain download_dir. This partial compensation raises the score from baseline 1 to a 3, though the omission of download_dir is a gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly specifies the action ('extract') and resource ('six-line guitar tab text from a local image path or image URL'). It implicitly distinguishes from sibling tools like garageband_image_to_midi (which converts to MIDI) and garageband_tab_to_midi (which processes text), but lacks explicit sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or context for use. For example, it does not state that this tool is for text extraction only, not for conversion to MIDI.

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 present, so the description carries full burden. It only says 'Launch and bring forward' but does not disclose behavior such as whether it always launches fresh or just brings to front if already running, or any error conditions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no fluff. Every word is necessary and the description is front-loaded.

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 action tool with no parameters or output schema, the description is mostly complete. However, minor gaps exist regarding whether it always launches fresh or handles an already-running instance.

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?

No parameters exist, and schema coverage is 100%. Baseline is 3 per rubric because the description adds no parameter information, which is appropriate given no 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 clearly states the verb 'Launch' and resource 'GarageBand', with effect 'bring it forward'. It is clear, but there is no differentiation from sibling tool 'garageband_open' which may have a similar purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'garageband_open' or 'garageband_status'. The description only states what it does without context.

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

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

With no annotations, the description carries full burden. It discloses the main actions (show, set search, list), but does not say if setting search text modifies UI state permanently, whether it's read-only, or any side effects. Lacks details on permissions or response behavior, but the core behavior is outlined.

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 that efficiently conveys the core purpose. No wasted words, though it could be more structured. Front-loads the main action. Appropriate length 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 no output schema and 4 parameters with 0% schema coverage, the description is too minimal. It doesn't explain how results are returned, the format, or what 'visible Library results' means. Incomplete for an agent to use effectively without additional 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?

Schema coverage is 0%, so description must compensate. It explains 'query' as search text and implies 'limit' and 'result_depth' relate to listing results, but not explicitly. The 'show' parameter is completely unmentioned. Adds some value but not enough to fully cover the 4 undocumented 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 tool shows the Library, optionally sets search text, and lists results. The verb 'Show' and resource 'GarageBand's Library' are specific. While it doesn't explicitly distinguish from siblings like garageband_library_select or garageband_loop_search, the purpose is clear and distinct enough for most agents.

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. No context on prerequisites or when not to use. The only hint is 'optionally', which is insufficient for an agent to decide between this and sibling search/select 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 mentions searching and pressing, but does not disclose behavioral traits such as whether it modifies state, requires visible results, or has side effects. The term 'press' is ambiguous without further 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 a single sentence that conveys the core functionality without extraneous information. It is appropriately front-loaded, but may benefit from slightly more detail to clarify the 'press' 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 no output schema and 5 undocumented parameters, the description is incomplete. It does not explain return values, error conditions, or how the tool integrates with the Library workflow. Additional context about dependencies or side effects 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 coverage is 0%, requiring the description to compensate. It explains that name and index are used to identify a result, but does not explain query (search term), allow_first (behavior when no result matches), or show (visibility). Most parameters remain undocumented.

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 it searches GarageBand's Library and presses a result by name or index. The verb 'press' implies selection, making the action explicit. However, it does not explicitly differentiate from sibling tools like garageband_library_search or garageband_loop_select, which 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?

No guidance is provided on when to use this tool versus alternatives. With 63 sibling tools covering various GarageBand interactions, the description offers no context for selection criteria or prerequisites.

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

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

With no annotations, the description must fully disclose behavior. It only states that it lists items with state, implying a read-only operation. No mention of performance, side effects, or constraints like menu hierarchy or return format. Minimal behavioral insight.

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 sentence with no fluff. It is concise and front-loaded. However, it could include more detail without becoming verbose.

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 output schema and the presence of many sibling tools, the description is insufficiently complete. It does not specify what 'menu items' entail (all menus? current menu?), the format of the state, or how the 'enabled_only' parameter filters results. More detail is needed 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?

Schema description coverage is 0%, so the description must explain parameters. It does not mention the 'enabled_only' parameter at all. The parameter name is somewhat self-explanatory, but the description adds no value over 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 tool lists GarageBand menu items with their enabled/disabled state. The verb 'list' and resource 'menu items' are specific. However, it does not differentiate from similar siblings like 'garageband_find_menu_items' or 'garageband_menu_map', leaving ambiguity about scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. There is no mention of context, prerequisites, or when not to use it. The description simply states what it does without any usage recommendations.

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

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

With no annotations, the description only states it lists visible regions and handles, but fails to disclose side effects, permissions, or what exactly 'visible' entails, leaving significant behavioral ambiguity.

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 very short and front-loaded, but it omits important details, making it under-specified rather than 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 single undocumented parameter, lack of output schema, and no annotations, the description fails to provide sufficient context for an agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has one parameter (max_depth) with no description coverage, and the tool description does not explain its purpose or effect, leaving agents completely uninformed.

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 lists visible GarageBand MIDI/audio regions and region edit handles, using specific verbs and resources that distinguish it from siblings like garageband_list_tracks.

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, nor any 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, and the description does not disclose behavioral traits such as read-only nature, side effects, or required permissions. The word 'list' implies read-only but is not explicit.

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 concise sentence front-loaded with the verb and resource. However, it omits important details about parameters and output, making it slightly too brief.

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?

The tool has two parameters and no output schema, but the description does not explain the return format or parameter behavior. It lacks completeness 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?

Schema description coverage is 0%, and the description does not explain the parameters max_depth and include_values. It adds no meaning beyond the schema, failing to compensate for the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb (list) and resource (visible GarageBand track headers and controls) and provides specific examples (mute, solo, volume, pan, name). It distinguishes itself from sibling tools like garageband_select_track or garageband_set_track.

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, no prerequisites, and no mention of when not to use it. The description only states what it does.

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?

Mentions 'guarded-drag' and that dragging may trigger Apple's content installer, adding context beyond a simple drag. Without annotations, this provides some behavioral insight but lacks details on success/failure or other 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?

Two concise sentences that efficiently convey the tool's core action and a critical requirement. No unnecessary words.

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 9 parameters, no output schema, and no annotations, the description is grossly insufficient. It does not explain most parameter semantics, return behavior, or potential side effects beyond the installer dialog.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. Only the 'acknowledge_content_install_risk' parameter is explained in the description. The other 8 parameters (query, index, coordinates, etc.) receive no semantic context, leaving the agent with the schema alone which has no descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool searches and drags a loop row, distinguishing it from sibling tools like garageband_loop_search and garageband_loop_select. It specifies 'guarded-drag' and the required acknowledgment.

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?

Describes the need to acknowledge content install risk for downloadable rows, implying a prerequisite condition. However, it does not explicitly state when to use this tool over alternatives (e.g., loop_search, loop_select).

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

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

With no annotations, the description must fully disclose behavior. It states the action (show browser, set query, report results) and implies non-destructiveness, but does not mention side effects like UI state changes, permissions, or whether it waits for results. It provides moderate 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, efficient sentence with no wasted words. It front-loads the main action and includes all key details (show, set search, report results).

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 two parameters, no output schema, and no annotations, the description covers the main purpose and outputs (filtered result counts and visible rows). It could be more precise about what 'visible rows' means, but is largely complete for a simple tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate for parameter meaning. It explains 'query' as search text and 'show' as browser visibility, adding value beyond parameter names. However, it does not specify the effect when 'show' is false or the exact format of the query.

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 shows GarageBand's Apple Loops browser, optionally sets search text, and reports results. It uses specific verbs ('Show', 'set', 'report') and identifies the resource ('Apple Loops browser'), distinguishing it from sibling tools like 'garageband_library_search' and 'garageband_loop_select'.

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 for displaying and searching loops, but lacks explicit guidance on when to use this tool versus alternatives like 'garageband_loop_select' or 'garageband_loop_drag'. No when-not-to-use or context exclusions are provided.

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 bears full responsibility for behavioral disclosure. It states it will search and select, but does not disclose side effects such as whether it scrolls the browser, whether it requires the loops browser to be open, or what happens if the query returns no results. Parameters like `row_height` and `x_offset` hint at coordinate manipulation, but the description does not explain their behavioral 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 sentence, which is concise, but it is too brief for a tool with 5 parameters and no other documentation. It front-loads the action and resource, but fails to provide necessary detail, making it insufficiently structured for a clear understanding.

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 absence of annotations, output schema, and the presence of 5 parameters (all undocumented), the description is far from complete. It does not explain return values, prerequisites (e.g., must have loops browser open), or the interplay between parameters. The description leaves significant gaps in the tool's usage 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 has zero documentation coverage for parameters. The description only hints at `query` and `index` (via 'by index'), but completely omits the purpose of `show`, `row_height`, and `x_offset`. This leaves the agent unable to understand how to properly invoke the tool, especially for positioning and visibility controls.

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 ('Search... and select'), the target resource ('GarageBand's Apple Loops browser'), and the selection mechanism ('by index'). It effectively distinguishes from siblings like `garageband_loop_search` (which only searches) and `garageband_loop_drag` (which performs a drag 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 explicit guidance on when to use this tool versus alternatives. It implies usage for searching and selecting a loop by index, but lacks context such as 'after performing a search, use this to pick a specific row' or 'for selecting without searching, use another tool'. The agent is left to infer usage 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 full burden. It mentions creation, opening, screenshot, and export, but fails to disclose potential side effects (e.g., file overwrites, unsaved changes handling, required permissions). The high-level 'recipe' lacks behavioral detail.

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 sentence, concise but not structured. It front-loads the key actions but could benefit from bullet points or clearer separation of steps. No wasted words, but room for improvement.

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 18 parameters, no output schema, and no annotations, the description is insufficient. It provides only a high-level overview, missing critical details about parameter dependencies, return values, error states, or expected behavior for optional features.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. With 18 parameters, the description only hints at the workflow (e.g., 'optionally show panels') but does not explain individual parameters like 'velocity', 'export_format', or 'discard_unsaved'. The agent cannot infer parameter meaning or validation rules from the description.

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 accepts a MusicXML score, creates multi-track MIDI, opens in GarageBand, and optionally handles panels, screenshots, and export. The verb 'accept' and resource 'MusicXML full score' are specific, but it does not explicitly distinguish from sibling tools like garageband_make_from_tab.

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 (e.g., garageband_make_from_tab or garageband_make_music). The description is purely functional and does not provide context for 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?

With no annotations provided, the description must fully disclose behavior. It mentions creating MIDI, opening GarageBand, and optional actions, but lacks details on side effects, error handling, or requirements (e.g., GarageBand must be installed). It does not explain what happens with unsaved changes or whether existing files are overwritten.

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 sentence with no fluff and front-loads 'High-level recipe'. However, given the tool's complexity (17 parameters), it is too terse and lacks structure to efficiently convey the overall workflow.

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?

The tool has high complexity with 17 parameters, required nested objects, and no output schema or annotations. The description fails to explain how parameters interact, the format of score_spec, or the output consequences. An agent would be ill-equipped to invoke this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description only mentions 'score_spec' as LLM-friendly JSON. The other 16 parameters (velocity, screenshot, export options, etc.) are not explained, leaving the agent to infer their meaning from names alone. This is insufficient for correct use.

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 accepts an LLM-friendly JSON band score spec, creates multi-track MIDI, opens it in GarageBand, and optionally screenshots and exports audio. This distinguishes it from siblings like garageband_make_from_tab or garageband_make_music.

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?

While the description mentions it's a 'high-level recipe', it provides no explicit guidance on when to use this tool versus alternatives, no context on prerequisites, and no exclusions. Sibling tools like garageband_make_from_score may have overlapping functionality, but no differentiation is offered.

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 provided, so description carries full burden. It mentions high-level steps but lacks details on side effects, destructive actions, permissions, or what happens to existing projects. The one-sentence summary is insufficient for a tool with 28 parameters.

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 of 27 words is concise and front-loaded with 'High-level recipe'. However, it reads as a list and could benefit from structured formatting.

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 28 parameters, no output schema, and many sibling tools, the description lacks necessary context. It does not explain workflow steps like how to use 'tab_text' vs 'tab_file', or what 'snapshot' means.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 7%, yet the description does not describe any parameter meanings. It only lists actions without mapping to specific parameters, failing to compensate for the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it's a recipe that accepts tab text/file/image/URL, creates MIDI, opens in GarageBand, optionally shows panels, sets master volume, snapshots, screenshots, and exports audio. This specific verb+resource combination distinguishes it from sibling tools like garageband_tab_to_midi or garageband_image_to_midi.

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 vs alternatives like garageband_tab_to_midi or garageband_make_from_score. Does not specify context 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, the description must disclose all behavioral traits. It mentions high-level actions but omits critical details like side effects, required permissions, whether it modifies files, or how GarageBand interaction works.

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 sentence; it is concise but lacks structure and misses key information for a tool with 33 parameters. It could be more organized.

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 (33 parameters, no output schema, low schema coverage), the description is insufficient. It does not explain prerequisites, output, or how to use the many parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 3%, and the description does not map input types to specific parameters (e.g., which parameter for MusicXML). It adds minimal 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 clearly states it's a unified recipe that accepts multiple input formats (MusicXML, JSON, tab, etc.) and performs creation, opening GarageBand, and optional export. This distinguishes it from specific sibling tools like garageband_make_from_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?

It labels itself as a 'unified high-level recipe' implying use for any of the listed input types, but does not explicitly state when to avoid it or compare with alternatives like the more specific 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 provided, so description carries burden. It explicitly states recursion and the data returned (paths, enabled state, child counts), implying read-only access. However, it does not mention idempotency or potential side effects, but 'list' suggests no modification.

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 that is clear and front-loaded. No redundant words; every part adds 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?

Missing parameter explanations and output format. Given 3 parameters and many sibling tools, more detail is needed to guide correct use, such as how child counts are reported or default behavior of top_menu.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for all 3 parameters. The description does not explain what 'enabled_only', 'max_depth', or 'top_menu' mean or how they affect output. For a tool with no output schema, this is a critical gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool recursively lists GarageBand menu paths with details like submenu paths, enabled state, and child counts. It distinguishes from sibling tools like garageband_list_menus and garageband_find_menu_items.

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 such as garageband_list_menus, garageband_find_menu_items, or garageband_click_menu. The description lacks context for choosing among menu-related 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 provided, so the description carries full burden. It does not mention whether the tool is read-only, what permissions are needed, or any side effects. For a tool that inspects a file, read-only behavior is implied but not stated.

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 of 15 words, directly stating the action and what is reported. No filler 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?

Given no output schema and no annotations, the description lists reported items but omits output format (e.g., JSON), whether it errors on invalid files, or how to interpret results. Adequate for a simple tool but incomplete for full autonomous 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 0%, so the description must compensate. It successfully indicates that the 'path' parameter should point to a MIDI file, adding meaning beyond the schema's bare string type. It does not specify path format or resolution, but the core semantic is clarified.

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: inspect a MIDI file and report specific attributes (format, track names, channels, note counts). This is specific and distinguishes it from sibling tools like garageband_image_to_midi or garageband_tab_to_midi, which create MIDI rather than inspect.

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. It does not mention prerequisites, context (e.g., after generating a MIDI file), or when an alternative like garageband_list_tracks would be more appropriate.

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 must fully disclose behavioral traits, but it fails to mention whether opening closes the current project, prompts for unsaved changes, or has any side effects. This is a critical 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, direct sentence with no filler. It is appropriately sized and front-loaded, conveying the essential action efficiently.

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 simplicity of the tool (one parameter, no output schema), the description is somewhat complete, but it lacks details on expected behavior (e.g., does it return success/failure?), error handling, and supported file types, which are important 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?

The schema lacks property descriptions, but the description adds context that 'path' refers to a GarageBand project or supported audio file. This provides some meaning, though specifics about format or scope are missing.

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 opens a GarageBand project or supported audio file, specifying the verb and resource distinctly. Among siblings focused on other actions (clicking, searching), this stands out as the open-file 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?

No guidance is provided on when to use this tool versus alternatives, such as before editing or after launching. The description does not mention prerequisites, file types, or context, leaving the agent with minimal direction.

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 provided, so description carries full burden. It adequately states the tool explains permissions, implying it is read-only. However, it does not disclose output format or any side effects, which is acceptable for a simple informational 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?

Single sentence, front-loaded with key verb, no unnecessary words.

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?

Tool is simple with no parameters. Description explains purpose sufficiently, though could mention return type (e.g., 'returns a text explanation'). No output schema, so minor gap.

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?

No parameters exist, so baseline is 4. Description correctly does not attempt to add 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?

Description uses specific verb 'explain' and identifies resource 'macOS permissions needed for GarageBand automation', clearly distinguishing it from sibling tools which focus on specific GarageBand 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?

No guidance on when to use this tool versus alternatives. Users must infer its purpose from the description 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, and the description does not disclose any behavioral traits beyond returning option catalogs. It is truthful but does not add context about side effects, permissions, or limitations. Adequate for a simple read-only 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 sentence that immediately states the action and result. No unnecessary words; front-loaded with the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool with no output schema, the description sufficiently conveys the purpose and output. It could be enhanced by mentioning the format of the option catalogs, but overall it is complete enough.

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 no parameters, so the description cannot add meaning beyond the schema. Baseline 4 is appropriate since schema coverage is 100% and no parameters exist.

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 it returns built-in option catalogs for key signature and time signature popups, which is a specific verb-resource combination. It distinguishes from siblings like 'garageband_project_settings' and 'garageband_set_project_settings' by focusing on catalog retrieval.

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 when to use: when you need the list of available options for key and time signatures in GarageBand. It is clear but lacks explicit when-not-to-use or alternative 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 provided; description discloses it reads from LCD controls with no side effects mentioned. It lacks details on prerequisites (e.g., project open, controls visible) or error conditions.

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, front-loaded sentence that efficiently conveys the tool's primary action. However, it omits the parameter, which could have been included 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 the simple nature and one undocumented parameter, the description lacks completeness regarding return format and parameter behavior. No output schema exists, so return structure is unaddressed.

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 parameter max_depth is not explained in the description. With 0% schema description coverage, the description adds no meaning to the parameter, leaving its purpose unclear.

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 reads the current project's tempo, key signature, and time signature from LCD controls, using a specific verb and resource. It distinguishes itself from sibling tools like garageband_set_project_settings.

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 for reading current settings, but provides no explicit guidance on when to use or not use, nor alternatives. The context is implicit but not elaborated.

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, and the description does not disclose behavioral traits such as whether the tool is read-only, modifies state, or has any side effects. Minimal 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?

A single sentence is concise but lacks structure and detail. It earns its place but does not provide additional helpful 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 no parameters and no output schema, the description is adequate but does not specify the return format or structure of the workflows. Somewhat complete for a parameterless tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters with 100% coverage, so there is nothing to add. Baseline for 0 parameters is 4, and the description does not contradict or add unnecessary info.

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 returns 'high-level workflows for common LLM GarageBand tasks,' differentiating it from sibling tools that perform low-level actions like clicking or searching. However, it lacks examples of what these workflows are.

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, nor any exclusions or context. The description implies it's for common tasks but does not help an agent decide.

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, and the description only states the command name. It does not disclose side effects, permissions required, whether it modifies project state, or any other behavioral traits. This is insufficient for a tool that likely has 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 concise sentence, which is efficient. However, the extreme brevity sacrifices necessary details, so it cannot be a 5.

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?

Without output schema, parameter descriptions, or annotations, the description is critically incomplete. It does not explain what the tool returns, side effects, error conditions, or how to use the path parameter.

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 single 'path' parameter has no description in the schema (0% coverage) and the description adds no meaning. The agent has no context for what the path represents (e.g., file path, project path) or its format.

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 it calls GarageBand's native renderPreview AppleScript command, specifying a verb and resource. However, it doesn't fully clarify what rendering a preview entails or how it differs from similar tools, 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?

No guidance is given on when to use this tool versus alternatives like garageband_export_dialog or garageband_export_song. The description lacks context for selecting this tool over 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?

With no annotations, the description should disclose behavioral traits. It mentions per-step results but not side effects, state changes, or what constitutes valid actions. The stop_on_error parameter is not described in the description.

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?

Extremely concise at 10 words, front-loaded with the main purpose. However, it sacrifices substance for brevity, missing important details.

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 output schema and moderate complexity, the description is insufficient. It hints at per-step results but does not explain the structure of steps or actions, leaving the agent with incomplete understanding.

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 coverage is 50%, but the description adds no extra meaning to parameters. The plan parameter's schema description is somewhat helpful, but stop_on_error lacks any explanation. The description does not compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool executes a JSON sequence of actions and returns per-step results. It differentiates from sibling tools by focusing on batch execution of a plan, though it doesn't explicitly contrast with them.

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 individual action tools, no mention of prerequisites or error handling context beyond the stop_on_error parameter.

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. It discloses that the tool returns schema, examples, and rules, but does not explicitly state that it is a read-only, non-destructive operation. However, the behavior is safely inferred from the purpose.

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 sentence that precisely states the tool's output without any extraneous information. It is front-loaded and every word contributes to clarity.

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 parameters, no output schema, and low complexity, the description fully covers the tool's purpose and expected return value. It is complete for an information-retrieval tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, so by guidelines the baseline score is 4. The description adds no parameter details because none exist, which 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 tool returns an 'LLM-friendly JSON score spec schema, examples, supported pitch/drum names, and timing rules.' This specifies both the verb ('Return') and the resource (score spec schema), differentiating it from sibling tools like garageband_validate_score_spec which validates, or garageband_score_spec_to_midi which converts.

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 for obtaining the schema/metadata but provides no explicit guidance on when to use this tool versus alternatives like garageband_validate_score_spec or garageband_score_spec_to_midi. It lacks context for exclusion or recommended 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?

No annotations provided, so the description must fully disclose behavior. It mentions conversion and optional opening, but omits side effects, error handling, file overwrite behavior, GarageBand dependencies, and permission needs.

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, no wasted words. Structured as verb + object + optional action. Could benefit from bullet points or separation for clarity, but remains 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?

No output schema. Description lacks depth on return behavior (e.g., success/failure), constraints on score_spec format, or default velocity behavior. Given tool complexity (nested object, 4 params), more context 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?

Schema coverage is 25% (only score_spec described). The description adds detail about score_spec (title, bpm, time_signature, parts, beat-based notation). However, it does not describe output_path, velocity, or open_in_garageband, so it only partially compensates for low 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 converts an LLM-friendly JSON band score spec to a multi-track MIDI file and optionally opens it in GarageBand. It uses specific verbs and resources, and the mention of 'LLM-friendly JSON' distinguishes it from sibling tools like garageband_score_to_midi.

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. Siblings include garageband_score_to_midi and garageband_tab_to_midi, but the description does not explain why to choose this one. No when-not-to-use or prerequisite information.

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 conversion and optional opening, but fails to specify side effects (e.g., overwriting files, GarageBand activation), error handling, or return values. The lack of detail makes behavior unpredictable.

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 sentence with 18 words, front-loading the main purpose. It is concise, but could benefit from a bit more detail without losing brevity. No wasted words.

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 5 parameters, no output schema, no annotations, and many sibling tools, the description is too brief. It lacks explanations for parameters, return behavior, and usage context, making it insufficient for confident invocation.

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 coverage is 0%, so the description should compensate by explaining parameters. It only references the input format and the open_in_garageband flag implicitly, leaving score_path, output_path, bpm, and velocity undefined. While parameter names are somewhat self-explanatory, the description adds minimal 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 tool's function: converting a MusicXML band/full score into a multi-track GarageBand-importable MIDI file, with an optional 'open in GarageBand' behavior. This is specific and differentiates from siblings like 'garageband_score_spec_to_midi' which uses a different input format.

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 does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. The use case is implied but not clarified, leaving the agent to infer context without help.

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

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

With no annotations, the description must disclose behaviors. It mentions 'visible GarageBand window' but does not clarify what 'visible' means (e.g., foreground window), potential file overwrite behavior, or permissions needed. Lacks important behavioral 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 a single sentence with no waste, but it is too sparse for a tool with one parameter and no annotations. Conciseness is achieved at the cost of completeness.

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 output schema and no annotations, the description should provide sufficient context for correct invocation. It fails to mention preconditions (GarageBand must be running, window visible) or explain the parameter's meaning. Incomplete for a tool with only one parameter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the 'output_path' parameter's format, constraints, or relative vs absolute paths. The agent receives no semantic help beyond the schema's type.

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 captures the visible GarageBand window to a PNG file, using a specific verb and resource. It effectively distinguishes from sibling 'garageband_annotated_screenshot' which implies annotation behavior.

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 'garageband_annotated_screenshot' or 'garageband_ui_snapshot'. No exclusions or context for when not to 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?

With no annotations provided, the description must fully disclose behavioral traits. It states 'select a visible track' but omits details on failure modes (invalid index/name), state changes, or interaction with parameters like max_depth, x_offset, etc. The tool's behavior under edge cases is not explained.

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 sentence that efficiently conveys the core purpose and effect. It is front-loaded with the action and object. However, it could be more structured by breaking into multiple sentences for clarity.

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 7 parameters with complex defaults and no output schema, the description is incomplete. It does not explain the purpose of technical parameters, nor behavior when multiple tracks match. The tool's full functionality is not adequately documented.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must add meaning. It mentions index and name, but does not explain format, constraints, or the other 5 parameters (max_depth, x_offset, y_fraction, fast, row_height). This is insufficient to guide correct parameter usage.

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 'select', the resource 'visible GarageBand track', and the method 'by index or visible name'. It also explains the downstream effect on Library and Smart Controls. However, it does not differentiate from the sibling tool 'garageband_set_track', leaving slight 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?

There is no explicit guidance on when to use this tool versus alternatives like 'garageband_set_track'. The description implies usage when needing to act on a track via Library/Smart Controls, but fails to provide when-not-to-use or identify prerequisites.

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 only notes the test is non-destructive and generates MIDI/screenshot artifacts but omits details like authorization needs, potential side effects, or what happens to existing files.

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, no fluff. However, it could be restructured to front-load key info better, but still 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?

Without output schema and with 5 undocumented parameters, the description leaves many gaps. An agent cannot understand what the tool returns, error handling, or how parameters influence behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, yet the description does not explain any parameter meaning. For example, it does not clarify that 'output_dir' sets artifact location or that 'include_screenshot' controls screenshot generation. This is a critical gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb ('Run a non-destructive bridge health check') and resource ('bridge'), and it distinguishes itself from other GarageBand tools by focusing on a health check and artifact generation, not covered by siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus other diagnostic or testing tools. The description does not mention alternatives, prerequisites, or conditions for 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 must disclose behavioral traits. It only states 'through the visible LCD controls', hinting at UI automation, but does not mention if the operation is destructive, requires specific permissions, or what side effects occur (e.g., overwriting existing settings). This is insufficient 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 sentence with no wasted words, front-loaded with the action and resource. However, it could be slightly expanded to cover parameter details 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 the tool has 4 parameters, no schema descriptions, no output schema, and no annotations, the description is severely incomplete. It does not explain the 'max_depth' parameter, what return value to expect, or how the tool interacts with the project state. The agent lacks critical context to use this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It names three parameters (tempo, key_signature, time_signature) but does not explain valid formats or ranges (e.g., tempo as string vs number, key signature notation). The parameter 'max_depth' is completely unmentioned. This leaves the agent guessing about parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool sets tempo, key signature, or time signature in the GarageBand project, with a specific reference to 'visible LCD controls'. This distinguishes it from sibling tools like garageband_project_settings (read) and project_setting_options (list options), which are separate concerns.

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. It does not mention when not to use it or provide context for choosing between this and other setting tools like garageband_set_smart_control or garageband_set_track. The agent must infer from the description 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 indicates the tool modifies Smart Controls but does not disclose behavioral traits such as whether changes are reversible, required permissions, or side effects like UI changes.

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 sentence that conveys the core functionality and a prerequisite, but it could be more structured (e.g., separate sentences for purpose and usage context). It is reasonably concise without being insufficient.

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 (9 parameters, no output schema, no annotations), the description is insufficient. It does not explain parameter combinations, how different values affect behavior, or what the output indicates. The tool likely supports multiple actions (press/set), but the description does not elaborate.

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 has 9 parameters with no descriptions (0% coverage). The description only hints at 'label/path' related to query and path parameters, leaving the meaning and usage of other parameters (value, action, role, etc.) completely unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Press or set') and the target ('visible GarageBand Smart Control') and mentions the method ('label/path'). However, it doesn't explicitly differentiate from similar sibling tools like garageband_set_ui_value, which could also set control values.

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 a prerequisite ('after inspecting garageband_smart_controls'), but does not provide explicit guidance on when to use this tool vs. alternatives, nor does it mention when not to use it.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It states the tool sets controls but does not explain side effects (e.g., whether changes are immediate or require confirmation), error handling, or constraints like which controls can be set simultaneously. This lack of detail hinders safe invocation.

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 conveys the core purpose. However, it could be slightly more structured by separating the control list or adding usage hints without increasing word count significantly.

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 absence of annotations, output schema, and param descriptions (0% coverage), the description is insufficiently complete. It does not explain return values, error states, or how multiple parameters interact. An agent would likely need additional context to use this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It lists the control types (mute, solo, volume, pan, name) but does not explain the meaning or expected format of parameters like index, max_depth, or the varied types (e.g., volume accepts string, number, integer). The description adds marginal value over raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.