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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states what the tool does without explaining side effects, whether notes are appended or replace existing ones, whether the clip is modified in place, or any error conditions. This leaves significant ambiguity for an agent invoking the 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 concise and front-loaded. It opens with a one-sentence purpose, then lists parameters with short explanations. Every sentence adds value and there is no redundancy or wasted words. This is an efficient structure.

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

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

For a tool with no annotations and no output schema, the description is incomplete. It does not explain what happens after notes are added (e.g., return value, visual undo), any limitations (e.g., only applies to MIDI clips), or how the notes array is processed (append vs replace). Given the complexity of a MIDI editing tool, more behavioral context is needed.

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

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

The schema description coverage is 0%, so the description must compensate. It does so by explaining each parameter: track_index and clip_index refer to the containing track and clip slot, and notes are described as a list of dictionaries with pitch, start_time, duration, velocity, and mute. This adds meaning beyond the schema, which only provides types. However, it lacks units or value ranges, which would further improve clarity.

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: 'Add MIDI notes to a clip.' This is a specific verb+resource pair that distinguishes it from siblings like create_clip (creating a clip) or fire_clip (triggering playback). It is unambiguous and immediately understandable.

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

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

The description provides no guidance on when to use this tool versus alternatives, such as create_clip or fire_clip. It does not state prerequisites (e.g., the target clip must exist and be a MIDI clip) or situations where it should be avoided. The usage context is only implied by the tool's name and description.

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?

Without annotations, the description discloses the default replace behavior and explains the limitation of the legacy API. However, it doesn't describe merge behavior when replace=false, error conditions, or explicit mutating side effects, so there are 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 well-organized with a clear intro, usage note, and parameter list; every sentence contributes useful information without being 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?

The description covers purpose, usage, parameters, and the replace behavior, making it nearly complete for a 4-parameter tool with no output schema. It doesn't mention return values or error handling, but those are not critical for this mutation 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 has no descriptions (0% coverage), but the description describes each parameter, including the structure of notes (pitch, start_time, duration, velocity, mute, optional probability and velocity_deviation) and the default for replace, providing substantial semantic 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 states 'Add MIDI notes carrying per-note probability and velocity deviation,' which identifies a specific verb and resource, and clearly differentiates from add_notes_to_clip by highlighting the probability feature.

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 explicitly directs users to prefer this tool over add_notes_to_clip for generative tasks, explaining that the legacy API lacks probability support and would silently drop it. This provides a clear alternative and when-to-use guidance, though it doesn't state 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 provided, the description carries the full burden of behavioral disclosure. It explains that the curve is baked into the clip and repeats phase-locked to the bar, that it is not a free-running LFO, and even mentions the API cannot set the Map button, requiring a user action. This is rich context beyond the schema.

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 well-structured: a clear purpose statement, a crucial caveat, a parameter list, and practical usage tips. Every sentence adds value—no redundancy or filler—while remaining compact enough for an agent to parse quickly.

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

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

Given the 9 parameters, no annotations, and no output schema, this description is remarkably complete. It covers what the tool does, key behavioral nuances, parameter meanings, when to use it, and how to achieve less obvious repetition. No critical context appears missing.

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

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

The input schema has 0% description coverage, so the description must compensate. It lists and explains all 9 parameters, including the meaning of shape, cycles (can be fractional), min/max range, and points (resolution), providing exactly the semantic information the schema lacks.

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

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

The description opens with a specific verb and resource: 'Draw a repeating waveform onto any device parameter as clip automation.' It clearly distinguishes itself from other clip-related tools by emphasizing the repeating waveform and baked-in nature, and the 'NOT a free-running LFO' note further differentiates it from modulation 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?

Provides explicit guidance on when to use this tool ('Use this when a loop-locked, editable curve is acceptable') and when not to ('This is NOT a free-running LFO'). It also names the alternative (Max for Live LFO) and describes the API limitation, giving the agent actionable decision criteria.

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, but it only states the action. It does not mention side effects, whether the operation is reversible, requirements like warp enabled clips, or any impact on existing warp markers.

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 followed by a clear parameter list. It is front-loaded with the action and includes no extraneous text, making it easy to scan.

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 adequate for a simple 4-parameter tool but lacks broader context such as when to use it (vs warp-related siblings), prerequisites, or whether it returns a value. It covers the core action and parameters but would benefit from more operational context.

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

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

Since schema coverage is 0%, the description compensates by explaining each parameter: track_index, clip_index, beat_time, and the optional sample_time. It adds clarity by noting sample_time is auto-calculated if not provided, which goes beyond the schema's type/name 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 'Add a warp marker to an audio clip' with a specific verb and resource. It distinguishes itself from sibling tools like delete_warp_marker and get_warp_markers by naming the action and target.

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

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

No guidance is provided on when to use this tool versus alternatives such as set_clip_start_marker or set_clip_warp_mode. The description only states what it does without explaining the appropriate context 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 carries the full burden of behavioral disclosure. It fails to describe the effect of applying a groove (e.g., timing alterations), whether it is destructive/reversible, or any side effects on the clip. This is a significant gap 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 concise and well-structured. It front-loads the purpose in a single sentence, then lists parameters in a clear bullet-style format. Every sentence adds value without redundancy.

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

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

Despite complete parameter coverage, the tool lacks behavioral context, usage guidance, and any note on return values or state changes. As a mutation tool with no annotations or output schema, it should explain more about what 'apply' entails and when to use it. The description is minimal and leaves the agent to fill in critical gaps.

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

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

The schema provides only parameter names and types (0% coverage), so the description compensates by explaining each parameter: track_index (track), clip_index (clip slot), groove_index (groove pool). This adds necessary semantic meaning beyond the structured schema.

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

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

The description clearly states the tool's action: 'Apply a groove to a clip.' This is a specific verb+resource construction that distinguishes it from siblings like commit_groove or get_groove_pool. There is no ambiguity about what the tool does.

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

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

No guidance is provided on when to use this tool versus alternatives. It does not mention prerequisites (e.g., existing clip, groove pool availability) or when not to use it. The description simply states the operation without contextual selection criteria.

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 carry full behavioral disclosure. It states the core action but does not explain side effects (e.g., whether the browser's current location is changed), error behavior (e.g., invalid paths), or the return format. This is a minimal disclosure that leaves the agent uncertain about operational consequences.

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 efficient and well-structured, with a one-sentence purpose statement followed by a concise parameter explanation. It avoids redundancy and front-loads the key 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?

For a tool with no output schema, no annotations, and a single parameter, the description remains incomplete. It does not explain what the tool returns (the items at the location), whether it mutates browser state, or how it relates to siblings like get_browser_items_at_path. The absence of return value and side-effect information makes it inadequate 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?

The schema has 0% description coverage, but the description compensates by explaining the 'path' parameter as a list of path components with concrete examples. It adds meaning about the expected input structure, although it does not specify exact naming requirements or case sensitivity.

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

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

The description states the tool's function clearly: 'Navigate browser by path list to get items at that location.' The verb 'navigate' with resource 'browser' provides a specific action and scope. However, it does not differentiate from similar sibling tools like get_browser_items_at_path, which appears to also retrieve items at a path.

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 get_browser_tree or search_browser. The description implies usage when you know the path, but it does not state exclusions, prerequisites, or alternatives. This is a clear gap.

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 explains what the tool does but does not disclose side effects, return values, or whether it creates a clip or buffers the MIDI. Since it is a simple action with no params, the minimal risk is partially mitigated, but key behavioral details 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, concise sentence that front-loads the core information and adds a familiar analogy ('like Ableton's Capture feature'). Every word earns its place; there is zero waste.

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

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

Given the tool's simplicity (0 params, no output schema), the description is short but omits important context such as what happens after capture (e.g., does it create a clip, return notes, or influence the current selection?). Sibling tools for clip creation and note editing suggest this could have side effects, but the description does not clarify. A bit more detail would improve completeness.

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

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

The tool has zero parameters, so the schema provides complete coverage (100%). Per the guidelines, the baseline for 0 params is 4. The description does not add parameter details because none exist, so no deduction 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 states a specific verb ('Capture') and resource ('MIDI') with a clear scope ('recently played'), and distinguishes itself from sibling tools like add_notes_to_clip or generate_drum_pattern by referencing Ableton's Capture feature. This makes the purpose immediately understandable and unique.

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

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

The description clearly implies when to use this tool: when the user has recently played MIDI and wants to capture it, similar to Ableton's Capture. It does not explicitly name alternatives or exclusions, but the 'recently played' qualifier sets it apart from other MIDI tools. No explicit when-not-to-use guidance is given, but context is clear.

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 responsibility for disclosing behavior. It merely restates the tool's name ('Clear automation') without explaining what clearing entails, such as removing all automation points, resetting to default, or any side effects on clip playback.

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

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

The description is concise and front-loaded, with an initial statement of purpose followed by a parameter list. However, the parameter list adds little value beyond the parameter names, so the structure could be more informative.

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

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

The description is severely incomplete given the tool's complexity and the absence of annotations or an output schema. It does not address what 'clear automation' means, when it applies, how it interacts with the clip's automation envelope, or what errors might occur. The sibling set includes closely related tools, but this description provides no comparative 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 parameter descriptions are nearly tautological: 'The index of the track' for track_index, 'The index of the clip slot' for clip_index. They do not clarify crucial details like whether indices are zero-based, how to specify parameter_name (display name vs internal name), or what values are valid. With 0% schema coverage, this 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 ('Clear automation') and the resource ('a clip parameter'). The verb 'clear' distinguishes it from sibling tools like get_clip_automation and set_clip_automation, though it doesn't explicitly name these alternatives.

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

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

No guidance is given about when to use this tool versus alternatives. The description lacks context on prerequisites (e.g., clip existence, track type) or situations where clearing automation is 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?

In the absence of annotations, the description discloses the key behavioral trait of permanence ('make it permanent'), which signals an irreversible mutation of the clip. However, it does not mention other side effects, such as whether the original groove remains, whether undo is possible, or if the operation only affects session clip notes.

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

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

The description is concise and front-loaded, with a clear purpose statement before the parameter list. The parameter descriptions are minimal but not verbose, and the overall length is appropriate for the tool's apparent simplicity, though it could benefit from a more structured format.

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 no annotations, no output schema, and only two parameters, the description is thin. It does not explain preconditions (e.g., a groove must exist in the groove pool), the distinction from apply_groove (which may be non-destructive), or the result of the operation. This incomplete picture risks incorrect tool selection or 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 description coverage is 0%, so the description must compensate for the sparse schema. The one-line explanations ('The index of the track', 'The index of the clip slot') add little beyond the parameter names, with no mention of zero-based indexing, valid ranges, or the difference between session clip slots and arrangement clips.

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 'Commit groove quantization to clip notes (make it permanent)', which identifies the action and target resource. The parenthetical 'make it permanent' adds meaningful context, distinguishing it from a non-destructive preview or temporary quantization, though it does not explicitly name sibling tools.

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

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

The description gives no guidance on when to use this tool versus alternatives like apply_groove or quantize_clip. It also omits prerequisites, such as whether a groove must already be loaded or if the target clip must be a MIDI clip.

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 does reveal that it uses the Arrangement API, requires Live 11+, and that note start_time is clip-relative. However, it omits potential side effects, such as whether an existing clip at the given position is overwritten, and does not describe what happens upon success or failure. This is average but not exceptional.

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 well-structured, starting with a clear one-sentence purpose, then a brief note about API distinctions, and a parameter list. It stays efficient without unnecessary fluff. The parameter list is necessary given the lack of schema descriptions, so the added length is justified.

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

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

For a creation tool with optional nested notes, no output schema, and no annotations, the description covers the essential aspects: purpose, location, version requirement, all parameters with units, and note shape. Minor omissions include behavior on existing clips and return value, but the provided information is largely sufficient 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?

Schema coverage is 0%, so the description must explain all parameters, and it does. It lists each parameter and adds meaning: track_index is the MIDI track index, start_time is in beats, length is in beats, and notes are optional with a description of the note dict format including probability and relative start_time. This fully compensates for the bare schema and adds crucial context.

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: 'Create a MIDI clip in the Arrangement view, optionally filled with notes.' It uses a specific verb (create), identifies the resource (MIDI clip), and specifies the scope (Arrangement view). It also distinguishes itself from session clip tools by noting 'This is the Arrangement path (Live 11+).'

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 context for when to use this tool: 'Session clips and Arrangement clips use different Live APIs. This is the Arrangement path.' This implies it should be used for arrangement clips rather than session clips. It also references the note format from 'add_notes_with_probability', helping the agent understand the options. However, it does not explicitly state when not to use it or name alternative tools, leaving a minor gap.

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 explains the index parameter's semantics (-1 = end of list), which is useful. However, it does not disclose other behavioral traits such as whether the new track is selected, any return value, or error handling, leaving the agent with incomplete information for a create operation.

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

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

The description is concise, front-loaded with the purpose sentence, and includes a clear parameter explanation. Every line serves a purpose with no redundancy.

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

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

For a simple one-parameter create operation, the description covers the parameter well but omits any mention of return values or side effects. Since there is no output schema, the description should have indicated what the agent can expect after creation, leaving a gap in completeness.

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

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

The description fully explains the only parameter 'index' with the meaning 'The index to insert the track at (-1 = end of list)', adding value beyond the schema which only specifies a default. This is complete and precise for the parameter.

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

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

The description clearly states 'Create a new audio track in the Ableton session', which is a specific verb+resource. The 'audio' qualifier distinguishes it from sibling tools like create_midi_track, create_return_track, and create_group_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?

The usage is implied by the name and description: to add an audio track to the session. However, there is no explicit guidance on when to use this tool over create_midi_track or other track creation tools, nor any prerequisites or exclusions 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?

With no annotations, the description carries full responsibility for disclosing behavior. It only states the basic creation action and parameters, but does not address side effects (e.g., whether an existing clip in the slot is overwritten), required permissions, undo behavior, or any other behavioral traits. The description adds no context beyond the obvious.

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 compact: one sentence defining the purpose followed by a short, well-organized parameter list. Every line contributes useful information, with no redundancy or filler. The key action 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 creation tool with no output schema and no annotations, the description covers the what and how, including the default for length. However, it omits context such as whether the clip is empty, whether it overwrites an existing clip in the slot, or any track prerequisites. Minor gaps, but overall adequate for the tool's simplicity.

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 only types and defaults (0% schema_description_coverage). The description compensates by clearly explaining each parameter: track_index is the track index, clip_index is the slot index, and length is in beats with a default value. This adds meaningful semantics beyond the schema's bare properties, though it could be even more detailed (e.g., valid ranges).

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 ('Create'), the resource ('a new MIDI clip'), and the target ('in the specified track and clip slot'). This verb+resource+location phrasing is specific and distinguishes it from sibling tools like fire_clip or stop_clip.

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

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

The description implies usage ('when you want to create a new clip') but does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. No sibling differentiation or when-not-to-use guidance is 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 are provided, so the description carries full burden. It only states that a group track is created, but does not disclose side effects, prerequisites, whether original tracks are modified or moved, or any constraints. This is similar to the 'Update shared drive settings' example which scored 2 for lacking permissions/reversibility.

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

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

The description is concise: one sentence for purpose plus a two-item parameter list. It is front-loaded and every line adds value, especially given no schema descriptions exist.

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 creation tool with two parameters and no output schema, the description covers the basics but lacks behavioral context such as track order, prerequisites, or side effects. It is more complete than a mere tautology but not as rich as the get_calls example.

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 explicitly explains both parameters: track_indices as list of indices to group and name as the group track name. This adds meaning beyond the raw schema types, though it could include details like zero-based indexing.

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 'Create' and the resource 'group track', specifying it contains the specified tracks. This distinguishes it from sibling tools like create_audio_track or create_midi_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?

The description implies use when you want to group existing tracks into a group track, but it does not explicitly mention alternatives or when not to use. Sibling tools such as ungroup_tracks suggest the opposite operation, but no direct guidance is 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 side effects and limitations, but it only restates the core action. It does not mention return values, whether the locator is added to the arrangement, or any constraints on time/name values.

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

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

The description is extremely concise, with a one-sentence purpose followed by a minimal parameter list. 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?

For a low-complexity tool, the description covers the basic purpose and parameters, but given no annotations or output schema, it leaves questions about usage context and behavioral outcomes unresolved. It is adequate but not fully self-contained.

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?

Despite 0% schema description coverage, the description compensates by explaining that time is in beats and name is a label for the locator. This adds meaning beyond the raw schema types, though it could further clarify requiredness or default behavior.

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

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

The description opens with a clear verb and resource: 'Create a new locator/cue point.' This distinguishes it from siblings like delete_locator and get_locators by specifying the action and object.

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 guidance on when to use this tool versus alternatives such as set_clip_start_marker or set_clip_end_marker, nor any prerequisites or exclusions. The description simply states the function without contextual use cases.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'create a new MIDI track' without explaining side effects, undo behavior, permissions, or what happens to existing tracks. This is a significant lack of transparency 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 concise, front-loaded with the main purpose, and includes a clear parameter explanation. Every sentence earns its place; there is no fluff.

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 is simple with only one parameter, and the description covers its purpose and parameter semantics. However, it lacks usage guidelines and behavioral context (e.g., what happens on creation), so it is not fully complete for an agent operating autonomously.

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 only a title and default for the 'index' parameter with no description, so the description's explanation ('The index to insert the track at (-1 = end of list)') adds crucial semantic meaning. This fully compensates for the 0% schema description 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 starts with a clear verb+resource combination: 'Create a new MIDI track in the Ableton session.' It unambiguously states the tool's function and is distinct from sibling tools like create_clip, which creates clips rather than 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?

No guidance is given on when to use this tool versus alternatives, nor any exclusions. While it is implicit that this is for creating MIDI tracks, the description does not mention prerequisites, typical scenarios, or contrast with related tools like create_clip.

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 only states it creates a return track but does not mention any side effects, such as default naming, track placement, whether it becomes selected, or if any send routing is auto-configured. This lack of detail for a mutating operation is a significant transparency 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 entire description is a single, front-loaded sentence with no wasted words. It clearly states the action and one relevant context note, earning the highest rating.

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 is simple: zero parameters, no output schema, and no nested objects. The description captures the core action and purpose. It doesn't cover all potential behavioral nuances, but given the low complexity, the description is reasonably complete. A slightly lower score would be warranted if more context (like default track name) were expected, but it's adequate.

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

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

The tool has zero parameters, so the schema provides no parameter details. Per the rubric, the baseline for zero parameters is 4. The description adds context about the purpose but doesn't need to explain parameters that don't 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 uses a specific verb 'Create' with a clear resource 'return track' and adds a parenthetical purpose ('for shared send effects like reverb'), which distinguishes it from other track-creation tools like create_audio_track or create_midi_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?

The parenthetical explains the intended use case (shared send effects), giving clear context for when to use this tool. It does not explicitly mention alternatives or exclusions, but the context is sufficient to imply it should be used when a return track is needed.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether the new scene becomes selected, how existing scenes are affected, whether the operation is undoable, or what the return value is. The index parameter is explained, but broader side effects remain opaque.

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

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

The description is extremely concise: one clear sentence plus a parameter list. It is front-loaded and contains no filler, repetition, or extraneous information.

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

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

For a simple creation tool, the description covers the parameter adequately, but lacks context about return values and side effects. With no output schema or annotations, the agent is left without a complete picture of what happens after invocation. It is acceptable as a minimum viable description but has clear gaps.

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

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

The description explicitly defines the 'index' parameter with a special sentinel value (-1 = end of list), adding meaning beyond the bare schema type and default. Since schema description coverage is 0%, this explanation is essential and effectively compensates for the only 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 verb-resource pair ('Create a new scene') and includes the index parameter context. It distinguishes from sibling operations like duplicate_scene by focusing on new scene creation, though it could more explicitly state what 'scene' means in this context.

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

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

No guidance is provided on when to use this tool versus alternatives such as fire_scene, select_scene, or delete_scene. The description gives no context for appropriate usage or exclusions, leaving the agent to infer applicability.

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

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It states 'Delete a clip' but does not warn that the operation is destructive or irreversible, nor does it describe the resulting state of the clip slot. This is a significant transparency gap 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 extremely concise, using one sentence for the action and a simple parameter list. Every word earns its place, and the key action 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 destructive tool with no annotations and no output schema, the description is too sparse. It does not explain whether the deletion is permanent, what happens to the slot, how errors (e.g., invalid indices) are handled, or what the response looks like on success. This leaves critical context missing.

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 only provides integer types and titles, with 0% schema description coverage. The description adds one-line explanations for both track_index and clip_index, clarifying what each index refers to. However, it omits details like zero-based vs one-based indexing or allowed ranges.

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 'Delete' and a clear resource 'a clip from a clip slot', immediately distinguishing it from sibling tools like delete_device or delete_track. It unambiguously states what the tool does.

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 whenever a clip needs to be removed from a clip slot, but does not explicitly mention alternatives or exclusions. There is no guidance on when to use this instead of stop_clip or clear_clip_automation, making usage context implicit rather than explicit.

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

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

No annotations are provided, so the description must disclose behavioral traits. It states the action but does not warn that deletion is permanent or irreversible, nor does it describe any side effects on associated parameters or chains. This is a gap for a destructive operation.

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

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

The description is compact: one sentence describing the action and a two-item parameter list. Every part is essential and there is no redundant filler.

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 two-parameter deletion tool with no output schema, the description covers the core purpose and parameter meanings. It lacks behavioral disclaimers (e.g., irreversibility) and any error conditions, but overall it gives enough context for basic 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?

The schema only provides titles for the two integer parameters. The description adds meaningful explanations: track_index is 'the index of the track containing the device' and device_index is 'the index of the device to delete'. This helps an agent understand what the indices refer to, though the indexing scheme (0-based vs 1-based) is not specified.

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 'Delete a device from a track' with a specific verb and resource. It distinguishes from sibling tools like move_device_left or toggle_device by focusing on deletion.

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

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

The description implies usage by explaining the action and parameters, but it does not provide explicit guidance on when to use this tool versus alternatives (e.g., delete_track or clear_clip_automation). There is no mention of prerequisites or consequences.

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 burden of behavioral disclosure. It does not state whether deletion is permanent, whether locator index is zero-based, or what happens if the index is invalid or out of range. It discloses no side effects or error behavior.

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

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

The description is short and to the point, but it spends space re-listing the parameter in a pseudo-formatted block. The core sentence 'Delete a locator.' is concise, while the parameter line is redundant with the schema.

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

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

For a destructive operation with no annotations and no output schema, the description is thin. It doesn't clarify what 'locator' refers to, whether deletion is undoable, or how the locator_index is used in the context of the session. More context is needed for an agent to invoke safely.

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

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

The description repeats the parameter name and a basic definition ('Index of the locator to delete') that matches the schema's 'Locator Index'. Schema description coverage is 0%, so the description adds minimal value, but it does confirm the parameter's purpose. It lacks details like range, indexing origin, or how to obtain valid indices.

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 'Delete a locator' with a specific verb and resource. It distinguishes from siblings like create_locator and get_locators, though it doesn't explicitly name 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 alternatives. It doesn't mention prerequisites, such as needing to fetch locator indices via get_locators, or any constraints.

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 only states the action without mentioning irreversibility, potential impact on sends or routing, or whether it can be undone.

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

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

The description is extremely concise, with the action stated first and parameter explanation following. Every sentence earns its place, and there is no wasted text.

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 delete operation with no output schema, the description is largely complete. The only missing context is behavioral side effects, which lowers the score slightly.

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 a single 'index' parameter with no description. The tool description adds meaning by explaining it as 'The index of the return track to delete', though it does not specify whether the index is zero-based or one-based.

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 ('Delete') and the resource ('a return track'), which is specific and distinguishes this tool from siblings like 'delete_track' and 'delete_device'.

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 usage context is implied by the name and description: it's for deleting return tracks. However, there is no explicit guidance on when to use this versus alternatives like 'delete_track' or 'create_return_track'.

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 responsibility for behavioral disclosure. It only states that a scene is deleted, but does not mention consequences such as whether clips in the scene are also removed, whether the operation is undoable, or what happens if the scene index is invalid. This is insufficient for a destructive operation.

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

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

The description is extremely concise with no wasted words. The two-sentence structure plus parameter list is easy to scan. However, it omits critical behavioral context, so while efficient, it sacrifices completeness for brevity.

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

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

For a simple delete tool, the description reveals the action but lacks essential context for safe invocation. It does not explain side effects, error conditions, or prerequisites. Given the absence of an output schema and annotations, this description is inadequate for a destructive operation.

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

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

Schema description coverage is 0%, so the description must compensate. It says 'scene_index: The index of the scene to delete,' which merely restates the schema's 'Scene Index' title and confirms it's an index, but adds no further semantics like zero-based vs one-based indexing or how to discover the correct index. Minimal value beyond structured fields.

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 and resource: 'Delete a scene.' This is a specific verb+resource combination that distinguishes it from sibling tools like delete_clip, delete_track, and delete_device. No ambiguity exists for the tool's core function.

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

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

The description provides no guidance on when to use this tool versus alternatives like stop_scene, fire_scene, or select_scene. There are no exclusions, prerequisites, or context about scene deletion behavior. The agent must infer usage from the tool name alone.

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

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

No annotations are present, so the description must carry the full burden of behavioral disclosure. It only states 'Delete a track' without mentioning irreversibility, side effects on clips/automation, or any confirmation mechanism. This is inadequate for a destructive operation.

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

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

The description is extremely concise and well-structured, with a clear label for the parameter. No filler exists, and the format is scannable. However, it is under-specified, which slightly reduces the quality, but the conciseness itself is effective.

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, the description is minimal. It lacks information about return values (none defined in an output schema), reversibility, error behavior, and how it fits with related tools. Given the absence of annotations and output schema, the description leaves significant gaps for an 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 description's parameter note ('The index of the track to delete') adds little beyond the schema's title 'Track Index'. It does not clarify whether the index is zero-based, which track list it references, or what happens for out-of-range values. With 0% schema description coverage, the description fails to adequately compensate.

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

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

The description clearly states the action ('Delete') and the resource ('a track'), which is unambiguous. It distinguishes from sibling tools like delete_device, delete_clip, and delete_scene by specifying track, though it does not explicitly differentiate normal tracks from return tracks (delete_return_track exists as a sibling).

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 guidance on when to use this tool, what conditions should be met before deletion, or whether it applies to all track types (e.g., audio, MIDI, return). No alternatives or exclusions are mentioned, leaving the agent without context for correct invocation.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states the basic action and parameters, but does not mention side effects, error conditions, whether markers must exist, or reversibility. For a mutating operation, this is insufficient.

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

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

The description is concise, with a one-sentence purpose followed by a simple parameter list. It is efficient and front-loaded, though the parameter list duplicates what is already in the schema.

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 deletion tool with three required parameters and no output schema, the description covers the essential information. However, it lacks usage context, edge cases, and any behavioral details, making it only minimally complete.

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

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

The schema has no descriptions for parameters, so the description compensates by listing each parameter with a brief explanation (e.g., 'The index of the track'). These explanations add basic meaning beyond the schema, but they are minimal and do not provide details like value ranges or units.

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 (delete) and resource (warp marker from an audio clip), which is specific and unambiguous. It does not explicitly distinguish from sibling tools like add_warp_marker or get_warp_markers, but the verb sufficiently sets it apart.

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 or when to prefer alternatives. While it is implied that it is for removing warp markers, there is no explicit context, prerequisites, or comparison with sibling tools.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states the duplication action and destination, without explaining edge cases (e.g., no empty slot), side effects, or return values.

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

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

The description is concise, with a one-sentence summary followed by a structured parameter list. Every sentence is useful and there is no redundant information.

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

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

For a simple two-parameter action, the description covers the core purpose and parameter meanings, but lacks details on edge cases like no empty slot or return behavior. Since there is no output schema or annotations, these gaps are notable.

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%, but the description includes a Parameters section that clarifies both track_index and clip_index, adding meaning beyond the bare schema. It does not specify how the next empty slot is determined, but the parameter meanings are clear.

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 ('Duplicate a clip') and specifies the destination ('to the next empty slot'), which distinguishes it from other clip operations and duplication tools like duplicate_track and duplicate_scene.

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, no prerequisites, and no exclusions. It only states the basic action without context for selection among similar tools.

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

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It simply says 'Duplicate a scene' without explaining side effects (e.g., whether a new scene is created, whether the original is preserved, how the duplicate is named/positioned) or any error conditions. This is nearly devoid of behavioral 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 very concise and front-loaded with the core action. The parameter explanation is also short. No unnecessary words are present, though the brevity comes at the cost of missing behavioral 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?

With no output schema and no annotations, the description should provide complete context on its own. It does not explain what happens after duplication, whether the operation succeeds silently, or what the agent should expect. Given the simple single-parameter signature, a bit more context (e.g., 'Creates a copy of the scene at scene_index') would make it viable.

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

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

The schema provides no description for scene_index (0% coverage), so the description's line 'The index of the scene to duplicate' adds essential meaning by identifying what the parameter refers to. However, it does not specify indexing conventions (0-based vs 1-based) or how to obtain a valid index, leaving some gaps.

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

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

The description clearly states the action 'Duplicate a scene' with the specific resource (a scene). It is distinguishable from sibling tools like create_scene, delete_scene, and fire_scene, and aligns with the duplicate_clip/duplicate_track pattern. However, it doesn't explicitly explain what duplication entails (e.g., creates a new scene), which would make it unambiguous.

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

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

The description provides no explicit guidance on when to use this tool versus alternatives. There is no mention of how it differs from create_scene or duplicate_track, nor when it should not be used. The only implicit usage is 'if you need to duplicate a scene,' which is not enough for an agent to choose correctly among siblings.

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

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

No annotations are provided, so the description carries the full burden. It states that clips and devices are duplicated, but omits important behavioral details such as whether track routing, sends, or automation are also copied, where the duplicate is placed, and whether the action is reversible.

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 compact, front-loaded with the core operation, and uses a simple parameter list with no redundant filler. For a single-parameter tool, it is appropriately sized, though it could include more behavioral 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?

For a one-parameter mutation with no annotations and no output schema, the description provides the essential meaning of the operation. However, it lacks important context such as where the duplicate appears, which track properties are preserved, and any limitations, making it only minimally complete for real-world use.

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

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

The schema has no property descriptions, so the description must compensate. It only restates the parameter name ('The index of the track to duplicate') without adding indexing conventions, valid range, or whether the index refers to a pre- or post-duplication state. This adds little beyond the schema itself.

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 ('Duplicate') and resource ('a track'), and explicitly scopes the action to include 'all its clips and devices.' This clearly distinguishes it from sibling tools like duplicate_clip, which operates on clips.

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 duplicate_clip or create_midi_track/create_audio_track. There is no mention of track types, session vs. arrangement context, or preconditions.

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 fully disclose behavior. It only states the action without contextual details such as whether it stops other clips, requires a running transport, or what happens on invalid indices. This is 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?

The description is extremely concise and front-loaded with the purpose, followed by a clear parameter list. Every sentence earns its place with no redundancy or filler.

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 two-parameter tool, the description covers the basics: what it does and what the indices mean. However, it lacks any mention of side effects, error conditions, or how it interacts with overall playback state. Given no output schema, some extra context would be warranted.

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 parameters are explained in the description ('The index of the track containing the clip' and 'The index of the clip slot containing the clip'), adding significant meaning beyond the schema's bare integer definitions. Both required parameters are covered.

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: 'Start playing a clip.' This is a specific verb+resource combination that distinguishes it from siblings like stop_clip (which stops a clip) and start_playback (which likely starts general 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 guidance is given on when to use this tool versus alternatives. It does not mention conditions, prerequisites, or exclusions relative to siblings. The status quo is clear but unstated.

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 discloses the primary behavioral effect (playing all clips in the row) but omits potential side effects, prerequisites, or behavior when a scene is already playing. With no annotations, the description carries the full burden, and while it conveys the core action, it lacks depth.

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

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

The description is concise: two sentences plus a parameter list. Every word is necessary, and the structure is clean and easy to scan.

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 parameter and no output schema, the description is largely complete. It defines the action and parameter, though it could mention the relationship to selecting or stopping scenes for fuller 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 no parameter descriptions, and the description adds 'scene_index: The index of the scene to fire,' which explains the parameter's purpose. However, it does not clarify indexing base (0-based vs 1-based) or any bounds, so the added meaning is minimal.

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 fires (triggers) a scene to play all clips in that row. This distinguishes it from sibling tools like select_scene, stop_scene, and fire_clip by specifying the action and 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 explicit guidance on when to use this tool versus alternatives such as fire_clip or select_scene. The intended use is implied by the description but not stated as a recommendation or exclusion.

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 burden of behavioral disclosure. It explains the core effect (converting freeze to permanent audio) but does not detail side effects like whether the original frozen state is destroyed, whether the action is reversible, or any permissions required. It adds some context beyond the name but lacks depth.

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 exceptionally concise: one sentence defining the purpose, one sentence for the prerequisite, and a compact parameter list. Every word earns its place, with no unnecessary detail.

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 parameter and no output schema, the description covers the purpose, prerequisite, and parameter sufficiently. It does not mention return values or failure modes, but those are not essential given the tool's simplicity and the absence of an output schema. It is slightly less complete than ideal because annotations are absent.

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 'track_index: The index of the track to flatten', which provides the parameter's meaning. However, this is largely redundant with the schema's title 'Track Index' and adds only minimal clarity. The explanation is adequate for a single 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 and resource: 'Flatten a frozen track (convert freeze to permanent audio).' It distinguishes itself from sibling tools like freeze_track and unfold_track by specifying the outcome (converting freeze to permanent audio).

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 a clear prerequisite ('The track must be frozen first'), which tells the agent when this tool is appropriate. It does not explicitly name alternatives or exclusions, but the context is clear enough for typical 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, the description carries the full burden of behavioral disclosure. It does not mention side effects, return values, error handling, or any state changes beyond 'focus', leaving uncertainty about the tool's behavior.

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

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

The description is extremely concise: a single clear sentence followed by a compact parameter block. No words are wasted, and the structure is easy to scan.

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, the description covers the basic purpose and parameter. However, without annotations or an output schema, it lacks behavioral context (e.g., whether it mutates state, what happens on invalid input). It is minimally viable but not rich.

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 provides explicit parameter information with examples (Session, Arranger, Detail), which goes beyond the schema's bare string type. This helps clarify the expected values, despite the coverage being 0% in 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 action ('Focus') and the resource ('view') within Ableton, making the tool's purpose obvious. It does not explicitly differentiate from sibling tools like get_current_view, but the verb 'focus' implies a distinct 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?

No guidance is provided on when to use this tool or when alternatives might be preferred. The description only lists parameters without contextual cues about typical use cases 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 carries full responsibility for behavioral disclosure. It only states the action without revealing side effects, reversibility, what happens to the track contents, or any UI/audio impact. This is minimal and leaves the agent without important 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 extremely concise, consisting of one clear verb phrase and a short parameter explanation. Every word earns its place, and the structure is front-loaded with the 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?

For a simple one-parameter tool, the description is adequate but could be more complete. It doesn't mention the inverse operation (unfold_track), potential errors (e.g., non-group track), or the effect on track content, which would be useful context for an 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 description explicitly defines track_index as 'the index of the group track', adding semantic meaning beyond the bare schema title 'Track Index'. This compensates fully for the schema's lack of description (0% 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 uses a specific verb, 'Fold (collapse)', and a specific resource, 'a group track', which clearly states the tool's function. It implicitly distinguishes from the sibling tool 'unfold_track' by focusing on the collapsing 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 implies the tool should be used to collapse group tracks, and identifies the required input (track_index of a group track). However, it provides no explicit guidance on when to use this tool versus alternatives like 'unfold_track', nor does it mention any prerequisites or exclusion criteria.

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 core action (rendering devices to audio) but does not mention whether freezing is reversible, what happens to device editing capabilities, or any side effects on the track. This is a significant gap 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 two sentences with no unnecessary content, placing the action and purpose upfront. It earns its place with clear, direct phrasing.

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

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

Though the tool has only one parameter and no output schema, its mutation semantics demand more context. The description omits reversibility, the relationship to flatten_track, and what the user should expect after freezing. This incompleteness could mislead an agent relying on it.

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 restates track_index simply as 'The index of the track to freeze', which adds little beyond the schema's property name. It fails to clarify zero-based indexing, valid ranges, or how to obtain the index. With 0% schema description coverage, more compensation is expected.

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 'freeze' and identifies the resource 'track', explaining the effect 'render all devices to audio for CPU optimization'. This clearly distinguishes it from sibling tools like set_track_mute or toggle_device, and the parenthetical adds meaningful specificity.

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

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

The phrase 'for CPU optimization' implies the intended use case, but there is no explicit comparison to alternatives such as flatten_track, nor any mention of when not to use this tool or prerequisites. The guidance remains essentially implied.

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

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

No annotations are provided, so the description must carry the full burden of behavioral transparency. It states that a bassline is 'added' to a clip, but does not disclose whether existing notes are overwritten, whether the clip must already exist, or any side effects. Given this is a mutating generative tool, this lack of detail is a notable 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 compact and front-loaded with a clear purpose sentence, followed by a succinct parameter list. Every sentence adds value, and the structure makes it easy to scan for key arguments.

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 covers the input parameters well but omits behavioral outcomes (e.g., return value, clip content replacement) and does not mention output schema (none exists). Given the lack of annotations and output schema, more context about what happens after generation would improve completeness.

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

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

Schema description coverage is 0%, yet the description fully compensates by explaining each parameter with meaningful context: root is a MIDI number with example, scale_type lists allowed values, length is in beats, and track_index should point to a bass track. This goes well beyond the bare schema properties.

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

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

The description states a specific action: 'Generate a bassline pattern and add it to a clip.' This clearly distinguishes it from the sibling tool 'generate_drum_pattern' by focusing on bassline creation rather than drums. The verb and resource are both explicit.

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

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

The description implies use for bassline generation but does not explicitly compare it to alternatives like generate_drum_pattern or state when not to use it. The parameter note that track_index 'should be a bass track' offers some contextual guidance, but there is no clear when-to-use vs. alternative.

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 says 'add it to a clip' but does not clarify whether the generated pattern overwrites existing notes, appends to them, or how the 'random' style behaves. The drum-track constraint is useful but incomplete.

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 compact: one sentence for the action and a concise parameter list. Every line adds necessary information, and there is no redundancy or filler.

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 covers the main purpose and all parameters, but given the absence of annotations and output schema, it lacks important behavioral details such as whether the generated pattern replaces existing clip content. Overall, it is adequate for a simple tool but leaves gaps for a complex generative operation.

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

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

The schema has 0% parameter description coverage, so the description compensates by explaining each parameter's meaning, including enum values for style and the unit for length. However, the style values (basic, house, etc.) are not further elaborated, 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 states 'Generate a drum pattern and add it to a clip' with a specific verb and resource, clearly distinguishing it from sibling tools like generate_bassline or add_notes_to_clip. The main action is unambiguous.

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

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

The note 'should be a drum track' gives a prerequisite, but there is no explicit guidance on when to use this tool versus alternatives such as generate_bassline or add_notes_to_clip. The intended context is implied by the tool's name rather than explicitly stated.

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 behavior. It only says 'Get information' without detailing return format, scope (session vs project), or whether it's read-only. The agent knows little about side effects or data shape.

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, front-loaded sentence with no filler. It effectively conveys the core function without redundancy.

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

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

For a simple zero-param getter, the description is minimally sufficient. However, without an output schema, it's unclear what 'information' will be returned (names, colors, clip statuses). Sibling tools like get_scene_color suggest specific properties, so a slightly richer description would help.

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

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

The tool takes zero parameters, so there are no parameter semantics to clarify. The baseline for zero-param tools is 4, and the description adds no unnecessary param 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 action (get) and resource (all scenes), and with the tool name it's unambiguous. It distinguishes from siblings like get_scene_color or select_scene, but could be more specific about what 'information' entails.

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?

Usage is implied: when you need all scenes' info. No explicit alternatives or when-not-to-use guidance, but the purpose is straightforward enough that agents can infer 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, and it excels. It discloses the return of probability and velocity_deviation where available, and reveals a significant quirk: looped clips return only one copy of notes, not the repeated playback length. It also advises comparing loop_start/loop_end to start_time/end_time, providing behavioral context beyond a simple read.

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 structured with clear paragraphs, first stating the core purpose, then usage context, return details, and a looped-clip caveat. Every sentence earns its place and provides non-obvious information. The parameter list is 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?

Given no output schema, the description explains important return details (probability, velocity_deviation, has_probability) and the looped-clip behavior that could confuse users. It is complete for a read tool with no annotation support, addressing the key complexities of the tool.

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

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

Schema coverage is 0%, so the description must compensate. It provides brief definitions for both parameters. The track_index definition is tautological, but clip_index gains valuable meaning by specifying it comes from get_arrangement_clips, which helps the agent source the correct index. This is more than the schema offers, though not extremely detailed.

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

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

The description opens with 'Read the MIDI notes of a clip on a track's Arrangement timeline,' which is a specific verb+resource statement. It further distinguishes itself from get_clip_notes, which targets Session clip slots, making the purpose unmistakable.

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?

Explicit guidance: 'Use this for Arrangement clips, with the clip_index reported by get_arrangement_clips.' It also clarifies when NOT to use it (get_clip_notes is for Session slots) and explains the limitation of get_clip_notes. This fully covers when to use this tool versus 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 carries full transparency burden. It correctly implies a read-only operation via the verb 'Read' and lists returned fields. However, it omits potential behavioral details such as zero-based indexing, handling of invalid track indices, ordering of clips, or units for position/length. This is adequate but not fully transparent.

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

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

The description is extremely concise: one functional sentence plus a parameter list. It is front-loaded with the primary action and resource, and every word contributes meaning. 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?

For a simple read-only tool with one parameter and no output schema, the description provides essential context: what data will be returned (name, position, length, MIDI/audio, muted) and the required argument. It lacks minor details (units, indexing base) but is reasonably complete for typical use cases given the tool's simplicity.

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 includes 'track_index: The index of the track', but this only repeats the parameter name and adds no new insight (e.g., zero-based vs one-based, how to obtain the index). It adds minimal semantics beyond the schema, which already shows the type and requirement.

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 ('Read') and resource ('clips on a track's Arrangement timeline'), and lists the exact data fields returned (name, position, length, MIDI/audio, muted). This clearly distinguishes it from sibling tools that operate on individual clips or session clips, making the purpose unambiguous.

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

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

The description clearly implies when to use this tool: when you need to retrieve clip metadata from a track's arrangement timeline. It provides context but does not explicitly mention alternatives or exclusions (e.g., for reading notes use get_arrangement_clip_notes, for session clips use other tools). However, given the focused phrasing, the usage context is clear.

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 bears the full burden. The word 'Get' implies a read-only operation with no side effects, which is a useful behavioral signal. However, the description does not clarify the exact format of the returned data (e.g., units of length, whether loop start/end are returned, or if loop is a boolean). Given the absence of an output schema, more detail would be expected.

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: 'Get the length and loop settings of the arrangement.' Every word earns its place, and there is no redundant information. It is concise without sacrificing 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?

The tool is simple with no parameters, but it lacks an output schema and annotations. The description does not specify the structure or units of the returned length and loop settings, which an AI agent would need to interpret the result correctly. A more complete description would mention that the length is in beats or bars, and that loop settings include enabled/start/end/length properties.

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

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

The tool has zero parameters, so the schema is trivially complete (100% coverage). There is nothing for the description to add about parameters. The description correctly focuses on the return value rather than parameter semantics. Baseline for 0 params is 4.

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

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

The description clearly identifies the verb 'Get' and the specific resource 'arrangement' along with the precise information returned ('length and loop settings'). This distinguishes it from sibling tools like set_arrangement_loop (which writes loop settings) and get_arrangement_clips (which returns clips, not length/loop).

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 tool's intended use is implied by its name and description: an agent would use this when it needs the arrangement's length or loop settings. However, there is no explicit guidance about when to prefer this over alternatives, nor any exclusions or prerequisites. Some context is implied but not clearly stated.

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 only says 'Get available input routing options,' which implies a read operation but does not state that it has no side effects, what the return value looks like, whether the track must exist, or how invalid indexes are handled. Missing essential behavioral details.

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

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

The description is very short and free of fluff, making it easy to scan. The parameter list is redundant with the schema but does not add unnecessary verbosity. It is concise, though the structure could be improved by removing the redundant parameter repetition.

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

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

For a simple read tool, the description is still incomplete. It does not describe the format of the return value (e.g., list of string names, objects), whether it returns all available options or only some, or how errors are communicated. With no output schema and no annotations, the agent is left guessing about critical details.

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

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

The parameter description 'The index of the track' adds a small amount of meaning beyond the schema, which only specifies an integer named 'track_index'. However, it does not explain whether the index is zero-based or one-based, how it maps to a track, or any constraints. With 0% schema description coverage, this 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 tool's action: 'Get available input routing options for a track.' It specifies the resource (input routing options) and the scope (a track), which conveys the core purpose. The name also aligns with sibling tools like 'get_available_outputs' and 'get_track_input_routing', though the description does not explicitly differentiate from 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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention that it returns options for routing input, nor does it contrast with related tools like 'set_track_input_routing' or 'get_track_input_routing'. The context is minimal and relies entirely on the tool name.

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 carry the burden of behavioral disclosure. It only says 'Get', implying read-only, but does not mention error handling, valid track index range, or what the returned output options contain. No additional behavioral context is provided.

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

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

The description is concise and front-loaded with the purpose, followed by a simple parameter list. There is no verbose filler, making it efficiently structured for its minimal content.

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

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

For a one-parameter getter, the description is minimally adequate, but it lacks context about what the output options look like, how to interpret the return value, or any manual references. Given no output schema or annotations, the description leaves notable gaps in completeness.

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

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

The description repeats the schema's parameter name with a phrase 'The index of the track' that adds little beyond the schema's type and title. It does not clarify zero-based indexing, valid ranges, or track type filters. With 0% schema description coverage, the description should compensate but does not.

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

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

The description clearly states the action ('Get') and the resource ('available output routing options') with a scope ('for a track'). It distinguishes from siblings like get_track_output_routing by emphasizing 'available' options, though it could be more explicit about it being a list of choices.

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 get_track_output_routing or set_track_output_routing. It lacks context about typical use cases 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'gets' items, implying read-only, but does not describe potential error behavior, return format, or any side effects. Given the lack of annotations, this is a significant gap.

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

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

The description is concise and well-structured: one clear sentence plus a short parameter explanation. Every word earns its place, and the front-loaded purpose makes it immediately clear what the tool does.

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 getter with one parameter and no output schema, the description is mostly adequate. It explains the path format, which is the key input. However, it lacks information about return structure, error handling, and how it relates to sibling tools, leaving some context missing.

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 only defines `path` as a string with no description. The description compensates by specifying the required format 'category/folder/subfolder' and clarifying that `category` must be one of Ableton's browser categories. This adds meaningful meaning beyond the raw 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's function: 'Get browser items at a specific path in Ableton's browser.' The verb 'Get' is specific, the resource is the browser, and the scope is a specific path. This distinguishes it from the sibling tool `get_browser_tree`, which retrieves the entire tree.

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 usage guidance is provided. The description does not say when to use this tool versus alternatives like `get_browser_tree`, nor does it mention any prerequisites or edge cases. The path format is explained, but the 'when' is only implicit.

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 only states what it returns (a hierarchical tree) but does not disclose whether it is read-only, any permissions needed, or how the tree is structured. It adds no behavioral details beyond the basic operation.

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

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

The description is two sentences, front-loaded with the purpose, and includes a clean parameter listing. 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 simple one-parameter getter, the description covers the purpose and parameter values. It does not mention the default 'all' or what the tree nodes look like, but given the simplicity, it is mostly complete. However, it could state that it is a read-only operation or return format, which would help.

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 explicitly lists the category_type parameter, explains its meaning ('Type of categories to get'), and enumerates allowed values ('all', 'instruments', etc.). This significantly adds to the schema, which only has the property name and default with no 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 it gets a hierarchical tree of browser categories from Ableton, using specific verb 'get' and resource. It does not explicitly contrast with the sibling get_browser_items_at_path, but the 'hierarchical tree' phrasing implies a structural overview.

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, such as get_browser_items_at_path, nor any exclusions 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 provided, the description carries the full burden of behavioral disclosure. It explains that plain get_device_parameters returns only the rack's macros (usually unassigned), providing context on the tool's behavioral advantage. However, it does not describe return format or error handling, which slightly limits 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 well-structured: a clear purpose statement, an illustrative example, a contrast with a sibling tool, and a parameter list. Every sentence contributes necessary information without redundancy, making it appropriately sized 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?

Given no output schema and no annotations, the description provides sufficient context for an agent to select and invoke the tool correctly. It explains the workflow (get_rack_chains first) and all parameters. Minor gap: it doesn't specify the return value structure, but for a getter this is partially implied by the name and parameter descriptions.

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%, but the description includes a dedicated Parameters section that explains each of the four indices (track, device, chain, chain_device) with meaningful context. This fully compensates for the lack of schema descriptions and adds value beyond the bare 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 gets parameters of a nested device inside a rack chain, using a specific verb and resource. It explicitly distinguishes itself from the sibling get_device_parameters by explaining the limitation of the plain version, leaving no ambiguity about its unique purpose.

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

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

The description provides explicit guidance: use get_rack_chains first to find the chain index, then this tool. It also contrasts with get_device_parameters, explaining why the alternative is insufficient for nested devices. This gives clear when-to-use and when-not-to-use instructions.

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. It implies a read-only operation but does not disclose the return format, error behavior, or any side effects. For a getter, this is a notable gap; the agent cannot anticipate what 'automation data' looks like.

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

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

The description is concise and structured with a clear opening statement and parameter list. No unnecessary words, though the parameter explanations add minimal 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 lack of output schema and annotations, the description is incomplete: it does not describe the shape of the returned automation data, how to handle missing parameters, or any conditionality. For a getter, this is a significant omission for an agent to use it 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 parameter descriptions are nearly tautological, restating the parameter names ('index of the track', etc.). With 0% schema coverage, the description fails to provide meaningful details about valid parameter names, data types beyond what schema shows, or how to identify a parameter. No examples or constraints are given.

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 as retrieving automation data for a clip parameter, using the verb 'get' and specifying the resource. It differentiates from sibling tools like set_clip_automation and clear_clip_automation by indicating a read operation, though it doesn't elaborate on the data returned.

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

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

No guidance is provided on when to use this tool versus alternatives. It does not mention prerequisites, such as whether the clip must exist or if the parameter must have automation, nor does it contrast with set_clip_automation or clear_clip_automation.

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 only says 'Get the color of a clip,' which implies a read operation, but it does not specify the return format, error behavior, or any side effects. This leaves significant gaps for an agent to predict the tool's behavior.

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

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

The description is extremely concise, with a single-purpose sentence followed by clear parameter explanations. Every word earns its place, and it is well-structured for quick parsing.

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?

There is no output schema, so the description should explain what the tool returns (e.g., color format). It does not. Additionally, it omits any edge-case behavior or prerequisites. For a simple getter, this is a notable 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?

Schema description coverage is 0%, so the description fully compensates by explaining each parameter: track_index is 'the index of the track containing the clip' and clip_index is 'the index of the clip slot.' This adds meaning beyond the bare integer type in 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's function with a specific verb and resource: 'Get the color of a clip.' This distinguishes it from related tools like set_clip_color and get_clip_gain, making the purpose unambiguous.

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

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

No explicit usage guidance is provided, but the purpose implies when to use it: whenever you need to retrieve a clip's color. There are no alternatives mentioned or exclusions given, so it relies on the name and simple description to convey applicability.

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

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

No annotations are provided, so the description carries the full burden. It states only that the gain is retrieved, but does not disclose the return format (e.g., dB float), indexing convention, or behavior on invalid indices. Minimal behavioral insight beyond the name.

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

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

The description is appropriately concise, front-loaded with the core purpose, and includes a clean parameter list. Every sentence contributes without unnecessary fluff.

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 getter with two self-descriptive parameters and no output schema, the description provides the essential operation but leaves key gaps: return value semantics and error handling. It is minimally viable but not fully complete.

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

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

Schema description coverage is 0%, so the description must compensate. It lists both parameters with brief explanations ('track index', 'clip slot'), but these largely restate the parameter names. No mention of zero-based indexing, ranges, or value types.

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?

Clearly states the operation: 'Get the gain of an audio clip.' It uses a specific verb and resource, and is distinguishable from siblings like set_clip_gain and other clip getters.

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?

Provides no guidance on when to use this tool versus alternatives. It neither mentions the corresponding setter (set_clip_gain) nor any other context for selection. Usage is only implied by the verb 'get'.

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 bears full responsibility for behavioral disclosure. It only says 'get' which implies a read-only operation, but it does not describe side effects, error behavior, or what happens with invalid indices. Even for a simple getter, this is a transparency 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 short and direct, consisting of one opening sentence and a bulleted parameter list. No unnecessary fluff, though the parameter list duplicates schema property names. It is efficient and well-structured.

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

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

For a getter with no output schema, the description should clarify what 'loop settings' includes (e.g., loop start, end, enabled state) and possibly return format. Without this, an agent cannot fully predict the tool's output. The description covers only the basic action and parameters, leaving significant gaps.

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

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

Schema coverage is 0%, and the description compensates by adding minimal but useful semantics: 'The index of the track containing the clip' and 'The index of the clip slot' go beyond the schema's bare labels. However, it does not explain zero-based indexing, bounds, or edge cases, so it only partially compensates.

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

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

The description states a specific verb and resource ('Get the loop settings of a clip') which clearly conveys the tool's purpose. It does not explicitly distinguish from sibling tools like set_clip_loop, but the getter/setter opposition is implicit.

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 guidance on when to use this tool versus alternatives, nor any mention of exclusions or prerequisites. The description simply states what the tool does without contextualizing when it should be invoked.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only says 'Get all MIDI notes from a clip' without mentioning that it is a read-only operation, what the return format is, or how errors are handled. This is minimal transparency for a tool with no annotation 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 extremely concise and efficient. It includes one line describing the tool and two lines for parameter descriptions, with no filler or redundant content. Every sentence earns its place.

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

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

For a simple getter with two well-described parameters, the description is mostly adequate. However, there is no output schema, so the description should ideally outline what the returned MIDI notes look like. Additionally, it lacks any usage context or relationship to sibling tools, leaving the agent with only a minimal understanding of the tool's full 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 input schema provides only parameter names and types, with 0% coverage of descriptions. The tool description compensates by explaining each parameter: 'track_index: The index of the track containing the clip' and 'clip_index: The index of the clip slot containing the clip.' This adds meaningful context that the schema lacks.

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: 'Get all MIDI notes from a clip.' It uses a specific verb ('get') and resource ('MIDI notes from a clip'). However, it does not distinguish between session clip notes and arrangement clip notes, which is relevant given the sibling tool get_arrangement_clip_notes.

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

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

No guidance is provided on when to use this tool versus alternatives. The description only states what it does and lists parameters, without mentioning any exclusions or preferred contexts. For example, it doesn't clarify that this tool is for session clips while get_arrangement_clip_notes is for arrangement clips.

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 does not mention return value units, side effects, or error conditions. The statement 'Get the pitch shift' is minimal and leaves the agent uncertain about the nature of the returned data.

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 compact and well-structured: a clear one-sentence purpose followed by a simple parameter list. No unnecessary words or redundant details, making it easy to parse.

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

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

For a simple getter with two parameters, the description covers the action and parameter names but omits expected return format (e.g., semitones as a float) and any potential errors. While the tool is straightforward, the lack of an output schema means the description should have specified the return value to be fully complete.

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

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

The description adds only tautological phrases like 'The index of the track' and 'The index of the clip slot,' which barely extend the parameter names. It does not clarify zero-based indexing, valid ranges, or how the parameters relate, providing insufficient compensation for the schema's 0% description coverage.

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

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

The description clearly states the tool's function: 'Get the pitch shift of an audio clip.' It uses a specific verb and resource, and the name 'get_clip_pitch' aligns perfectly. This distinguishes it from sibling tools like set_clip_pitch or get_clip_gain.

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 set_clip_pitch. The description only states what it does without any context on selection, exclusions, 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?

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the action ('Get warp information') and does not describe expected output format, potential errors, side effects, or return value. For a 'get' tool, this is a notable gap, especially since the tool's scope ('warp information') is ambiguous.

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

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

The description is concise and well-structured. It leads with the purpose in a single sentence, followed by a clean bullet list of parameters. There is no fluff or redundancy, and every sentence serves a function. It is appropriately sized for a straightforward getter tool.

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

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

Given the lack of annotations, the absence of an output schema, and the existence of a very similar sibling tool (get_warp_markers), this description is incomplete. It does not specify what 'warp information' includes (e.g., warp mode, markers, tempo), how the response is structured, or how this tool differs from get_warp_markers. The description is adequate only as a minimal identification of the tool's purpose.

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 no property descriptions (0% coverage), so the description must compensate. It lists both parameters and gives brief definitions: 'The index of the track' and 'The index of the clip slot.' This adds some meaning but does not clarify important details like zero-based indexing or how these indices are counted. The descriptions are minimally more informative than the parameter names themselves.

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: 'Get warp information for an audio clip.' It uses a specific verb (Get) and resource (warp information) and is easy to understand. However, it does not explicitly distinguish itself from the sibling tool get_warp_markers, which likely retrieves warp marker data specifically.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention that it complements get_warp_markers or set_clip_warp_mode, nor does it explain any prerequisites or typical use cases. There is no when-to-use or when-not-to-use 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?

No annotations are provided, so the description carries the burden. The verb 'Get' implies a non-destructive read, but the description does not disclose any additional behavioral traits such as return format, whether it requires the audio engine to be running, or whether it returns a snapshot. It is minimally sufficient but not rich.

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 concise sentence that immediately states the tool's purpose. No filler or redundant information.

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

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

The tool is extremely simple, but since there is no output schema, the description could have specified the unit or type of the CPU load (e.g., percentage, float). It covers the core purpose but omits return-value details, making it incomplete.

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

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

The tool has zero parameters, and the description adds no parameter information because none is needed. Baseline for zero-parameter tools is 4, and there is no gap to compensate for.

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

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

The description uses a specific verb ('Get') and identifies the exact resource ('current CPU load of Ableton'). It is unambiguous and clearly distinguishes itself from all sibling tools, none of which relate to CPU monitoring.

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 explicitly state when to use this tool versus alternatives, nor does it mention any exclusions. For a trivial read operation, the usage is implied (any time CPU load is needed), but no explicit guidance is 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 are present, so the description carries the full burden. 'Get' implies a read-only operation, but it does not explicitly state that it has no side effects, nor does it disclose any edge cases or behavioral details. The description is minimal and leaves room for 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 a single, concise sentence that is front-loaded with the main action. It contains no redundant or irrelevant content.

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

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

For a tool with no parameters and no output schema, the description is adequate but somewhat vague. It gives examples of what the view state includes, but the 'etc.' leaves the exact return fields undefined. Since there is no output schema to fill this gap, more specificity would improve completeness.

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

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

The tool has zero parameters, so the baseline is 4. The description adds value by clarifying that 'current view state' refers to selected track, scene, etc., which helps an agent understand what information is being retrieved.

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 gets information about the current view state, with examples like selected track and scene. This verb-resource pairing distinguishes it from other getters such as get_session_info or get_playback_position.

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

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

No guidance is provided on when to use this tool versus alternatives. The description simply states what it does without any contextual hints about when it is appropriate or how it differs from sibling tools.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only states the basic function. It doesn't describe behavior on not finding a device, whether it searches within the specified track, the return format, or potential side effects. This is a significant gap for a lookup 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 very concise: one sentence and a parameter list. It is front-loaded with the main action and doesn't contain filler. However, the extreme brevity leaves out necessary context, so it's concise but not optimally structured for 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 the simplicity of the tool, the description is thin. It lacks an output schema, annotations, and detailed parameter semantics. It doesn't mention return values, error cases, or how it compares to the many sibling device-related tools. The tool is not adequately contextualized, making it hard to know when and how to invoke it 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 does list parameters with brief meanings ('track_index: The index of the track' and 'device_name: The name of the device to find'), but these add only marginal value over the schema titles. It doesn't clarify specifics like zero-indexing or match behavior, so the compensation 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: 'Find a device by name and get its parameters.' This specifies the verb and resource, and the 'by name' qualifier differentiates it from sibling tools like get_device_parameters that likely use an index. However, it doesn't explicitly contrast with alternatives, so it's clear but not fully differentiated.

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 guidance on when to use this tool versus alternatives such as get_device_parameters or get_chain_device_parameters. The description doesn't mention prerequisites, exclusions, or scenarios where a different tool 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 carries the full burden of behavioral disclosure. It merely rephrases the tool name without revealing details about return format, error handling, or whether parameters are zero-based. No additional context is given beyond the basic action.

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

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

The description is a single concise sentence followed by a clean parameter list. It is front-loaded with the main action and every sentence serves a purpose, making it highly efficient.

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

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

While the tool is simple with only two parameters, there is no output schema and the description does not mention the format of the returned parameters or potential edge cases. This leaves some ambiguity, but the core usage is clear enough for a basic getter 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 description adds meaningful semantics for both parameters by explaining track_index and device_index as indices of the containing track and device, respectively. This compensates for the 0% schema description coverage, though it could be more explicit about zero-based indexing.

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 'Get all parameters from a device on a track' with a specific verb and resource. It distinguishes itself from sibling tools like set_device_parameter and get_master_device_parameters by specifying the general device-on-track scope.

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

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

The description provides no guidance on when to use this tool versus similar alternatives such as get_chain_device_parameters, get_master_device_parameters, or get_return_device_parameters. It only states what it does, leaving the selection decision entirely to the agent.

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

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

With no annotations, the description bears full responsibility for behavioral disclosure. While 'Get' implies a non-destructive read, the description does not clarify what 'available grooves' means, whether it lists presets from a pool, or any potential side effects. This is minimal disclosure beyond the name.

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 with no superfluous words. It is appropriately front-loaded and easy to parse.

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

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

For a simple parameterless getter, the description is adequate but not complete. It lacks any mention of return format or what defines a 'groove.' Given the absence of an output schema, a bit more detail would help an agent know what to expect.

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

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

The tool has zero parameters, so the input schema is complete with no room for ambiguity. The description needs no parameter information, and the baseline of 4 applies.

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 'Get' with a clear resource 'available grooves from the groove pool.' It clearly distinguishes from sibling tools like apply_groove and commit_groove by indicating a read 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?

Usage context is implied: the tool retrieves available grooves for potential use with groove-related actions. However, it does not explicitly state when to use this versus alternatives, nor does it mention any prerequisites or related tools.

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

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

With no annotations, the description carries the burden. It implies a read-only operation via 'Get' and scopes to the arrangement, but does not disclose output format or error behavior. For a simple getter, this is minimally sufficient.

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?

One concise sentence with no filler or repetition, making it highly efficient.

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

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

For a zero-parameter getter, the description sufficiently explains the tool's function. It lacks return format details, but that is less critical without an output schema and given the simplicity of the operation.

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

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

The input schema has no parameters, and the description adds no parameter information. With 0 parameters, the baseline is 4, which is appropriate here.

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 action ('Get') and resource ('all locators/cue points in the arrangement'), distinguishing this from sibling tools like create_locator or delete_locator which are mutation operations.

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

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

The description implies usage for retrieving locators, and the scope ('in the arrangement') provides context. However, it does not explicitly state when to use this over alternatives or provide any exclusions, so it is minimally adequate.

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 bears the full burden of behavioral disclosure. It only states 'Get parameters' (implicitly read-only) but does not mention return format, side effects, error conditions, or any constraints. The extra Master track context adds little about behavior beyond the obvious getter semantics.

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

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

The description is concise and front-loaded with the primary action. The parameter listing is clear and structured. The sentence about the Live API is slightly redundant but adds useful context for why the dedicated command exists, so it earns its place.

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

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

For a simple one-parameter getter, the description covers the tool's purpose, target track, and parameter meaning. It omits return value details, but given the tool's simplicity and the absence of an output schema, the provided information is largely sufficient. Minor gap: no description of the returned parameter structure.

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 only the bare field name and type, so the description's 'Parameters' section adds crucial meaning by defining device_index as 'The index of the device on the Master track'. While it doesn't add range or formatting details, it fully explains the semantic role of the parameter, compensating for zero schema description 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 'Get parameters of a device on the Master track' with a concrete example (mastering compressor), making the tool's function immediately obvious. It distinguishes itself from sibling tools like get_device_parameters by focusing exclusively on the Master 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?

The description explains the dedicated nature of the command ('the Live API reaches them fine; they just need this dedicated command'), implying it should be used for Master track devices rather than the generic device retrieval tool. However, it does not explicitly list when not to use it or name alternatives, but the context is clear.

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 present, so the description carries the behavioral burden. It states the tool returns information about the master track, which implies a read-only operation, but it does not disclose details about the return format, potential errors, or any side effects. The mention of 'volume, pan, and devices' adds some scope but not deep behavioral transparency.

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

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

The description is a single, clear sentence that front-loads the action and resource. It contains no filler or redundancy, making it highly concise and well-structured.

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

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

Given the tool's simplicity (no parameters, no output schema), the description adequately conveys the core functionality. It identifies the target (master track) and key data points (volume, pan, devices). However, it could be slightly clearer about whether 'devices' refers to device names, parameters, or the chain, but this is a 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?

The tool has zero parameters, so schema coverage is trivially 100%. Per the rubric, 0 parameters yields a baseline of 4; the description does not need to explain parameters because none 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 the tool's purpose: 'Get information about the master track including volume, pan, and devices.' It uses a specific verb + resource and enumerates the fields, distinguishing it from sibling tools like get_track_info or get_return_track_info which target other track types.

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 retrieving master track settings but does not explicitly discuss when to use this tool versus alternatives. It gives context (master track info) but no exclusions or alternative recommendations, so it falls under 'implied usage' rather than clear guidance.

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

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

With no annotations, the description carries the full burden for disclosing behavioral traits. 'Get' implies a read-only operation, but it does not explicitly state that there are no side effects, nor what the returned state represents. For a simple getter, this is adequate but not rich.

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: 'Get the current metronome state.' It is front-loaded with the action and resource, with 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?

The tool is simple with no parameters and no output schema, but the description leaves the meaning of 'metronome state' somewhat ambiguous—could mean on/off, tempo, or other settings. An agent might benefit from knowing the expected return format or that this returns a boolean indicating whether the metronome is enabled.

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

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

The tool has zero parameters, so the baseline is 4. The description does not need to explain parameter meanings, as there are none, and the schema confirms no inputs are required.

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 ('Get') and identifies the resource ('current metronome state'), clearly distinguishing it from the sibling 'set_metronome' which performs the write operation. The purpose is immediately obvious.

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 (use when you need to read the metronome state) but provides no explicit guidance on when to use it versus alternatives. It does not mention the sibling 'set_metronome' or offer any exclusions, so usage context is only implied.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the read action but does not explicitly confirm it is non-destructive or describe the return format/edge cases. The behavior is simple, but the description is minimal and leaves some ambiguity about 'transport state'.

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 front-loads the verb and object. Every word earns its place; there is no redundancy or filler. It is optimally sized for the tool's simplicity.

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 is simple with no params or output schema, so the description is the only source of information. It conveys the main purpose but omits details about the structure of the return value (e.g., units of position, fields of transport state). This is a minor gap for an agent that needs to interpret the response.

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

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

The tool has zero parameters, so there are no parameter semantics to explain. The description adds no parameter-related value, but the baseline is 4 for parameter-free tools, and the tool's simplicity means no additional clarification 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 uses a clear verb ('Get') and specifies the resource ('current playback position and transport state'). It is distinct from sibling tools like start_playback and stop_playback, which are actions rather than getters. The purpose is immediately understandable.

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. There is no mention of related getters like get_session_info or any situation-specific advice. The description simply states what it does without situational context.