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?

No annotations are provided, so the description carries the full burden. It does disclose that sample_time is optional and calculated automatically if omitted, but it does not mention potential side effects (e.g., whether existing markers are affected), requirements like warp mode, or error behavior. This is minimal disclosure 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 purpose, and uses a clean parameter list. Every sentence earns its place, with no redundant or filler content.

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

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

Given the tool's mutating nature and lack of annotations/output schema, the description is incomplete. It covers parameters but omits key context such as whether the clip must be an audio clip (already implied), what happens to existing warp markers, and any error conditions. An agent would lack the information to safely invoke this tool in real scenarios.

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

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

The schema has 0% description coverage, so the description must compensate. It provides brief explanations for each parameter, with the most useful being sample_time ('calculated automatically if not provided'). However, track_index and clip_index are defined tautologically ('The index of the track/clip slot'), adding minimal value beyond the parameter names.

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 ('Add a warp marker') and a clear resource ('an audio clip'). This distinguishes it from sibling tools like get_warp_markers and delete_warp_marker, which perform different operations on the same resource.

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, prerequisites (e.g., whether the clip must be warped), or alternatives. It simply states the action without context, leaving the agent to infer usage from the sibling tool names.

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?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It states that navigation returns items but does not clarify side effects, error behavior, read-only status, or return format. The examples give some context but are insufficient for a complete understanding.

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: two sentences plus examples. The main verb and resource are front-loaded, and every word adds value. This is a model of efficient communication for a simple tool.

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

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

The tool has one parameter and no output schema, so the description should clarify what items are returned. It states 'get items at that location' but does not describe the structure or type of items. Given the low complexity, this is a minimal but not fully complete description; a slightly clearer return contract would improve 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 schema provides no description for the 'path' parameter, and the description compensates with clear examples (e.g., ["Audio Effects", "EQ Eight"]). This gives useful context but does not fully specify all aspects (e.g., case sensitivity, handling of invalid paths). Since there is only one simple parameter with example-based semantics, a score of 3 is appropriate.

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

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

The description clearly states a specific action ('Navigate browser by path list') and the resource ('browser'), indicating what the tool does. It distinguishes from siblings like search_browser and get_browser_tree by emphasizing path-based navigation, but does not explicitly differentiate from the closely related get_browser_items_at_path, so it loses one point.

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

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

There is no explicit guidance on when to use this tool versus alternatives such as get_browser_items_at_path or get_browser_tree. The description gives examples but does not state the preferred scenarios, prerequisites, or exclusions. This makes it unclear for an agent to choose between sibling tools.

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

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

No annotations are provided, so the description carries the full burden. It 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 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 for behavioral transparency. It only states the creation action and does not disclose any side effects, prerequisites (e.g., track index base), or error behavior. It also doesn't mention whether this is a safe read or mutating operation, though 'Create' implies mutation.

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 the core purpose in one sentence and a parameter list. It is well-structured and front-loaded, with no unnecessary words. Every sentence adds value.

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

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

For a simple creation tool with no output schema and sparse annotations, the description covers purpose and parameter semantics but omits usage guidelines, prerequisites, or behavioral details. This leaves some gaps for an agent needing to know when to use it correctly. It's adequate but not 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 lists both parameters with brief explanations, adding meaning beyond the raw schema which only provides types and defaults. 'List of track indices to group' clarifies the array's purpose, and 'Name for the group track' explains the string. However, it lacks details like zero-based indexing or constraints on 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 uses a specific verb 'Create' and resource 'group track', and specifies it contains the specified tracks. This clearly distinguishes it from sibling tools like create_midi_track or create_audio_track, though it doesn't explicitly mention alternatives.

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

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

The description provides clear context that this tool is for grouping existing tracks, implying its use case. However, it does not explicitly state when to use it vs alternatives or mention any prerequisites. There is no exclusion or alternative 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 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?

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 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?

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, 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 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.

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 simply says 'get chains' without disclosing the return format, whether it's a read-only operation, prerequisites (e.g., the device must be a rack), or error conditions. The behavior beyond the basic verb is opaque, leaving the agent to guess what happens if the device is not a rack or what the chains structure 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 short and front-loaded with a clear verb phrase. The parameter list adds bulk but is redundant with the schema; still, the overall size is appropriate. It earns a 4 rather than 5 due to the unnecessary repetition of the parameter names and titles.

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

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

Given the tool has no output schema and no annotations, the description must explain what 'chains' means and what the agent receives after the call. It provides none of that. The complexity is moderate but the missing return value information and lack of context about rack devices make it incomplete for an agent to chain this into subsequent operations.

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 essentially tautological: 'track_index: The index of the track' and 'device_index: The index of the rack device'. They add almost no meaning beyond the property names and titles. The description does not clarify whether indices are zero-based or one-based, or how to identify a valid rack device. 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 action ('Get chains') and the resource ('instrument or effect rack'). It distinguishes from siblings like select_rack_chain (which is about selection) and get_chain_device_parameters (about parameters), though it doesn't explicitly mention alternatives. A stronger description could say 'returns the list of chains' to fully clarify the return value.

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 select_rack_chain or get_chain_device_parameters. The description only states what it does without context for selecting it or exclusion criteria. For instance, it doesn't say 'use this to inspect the rack structure before selecting a chain' or similar.

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 behavioral traits. It only says 'get detailed information' without specifying what information is included, how errors are handled, or whether it is read-only. This is minimal 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 short and front-loaded with the purpose, but it is under-specified rather than concise. The parameter list adds little value and the overall content is too sparse to be considered 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?

With no output schema, no annotations, and a single parameter, the description still does not explain what 'detailed information' entails, what the return value looks like, or any edge cases. An agent cannot fully anticipate the tool's behavior from this description.

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 section merely restates 'return_index' and its obvious meaning, providing no additional context over the schema. The schema already defines the type and title, so the description adds zero semantic value to 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 the tool gets detailed information about a return track, which is a specific verb+resource combination. However, it does not explicitly distinguish itself from sibling tools like get_return_tracks or get_track_info, so it misses the differentiation criterion.

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 any prerequisites, typical use cases, or that get_return_tracks might be used to list tracks first. The agent is left to infer usage from the tool name alone.

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

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

No annotations are provided, so the description carries the burden. The phrase 'Get information' implies a read-only operation, but it does not disclose return format, potential emptiness, or any side effects. It is minimally transparent but not misleading.

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

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

The description is a single, clear sentence with no redundant information. It perfectly satisfies conciseness and front-loading.

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

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

For a zero-parameter, read-only tool, the description provides the essential purpose and scope. However, it does not describe what specific information is returned (e.g., names, device lists), which could be useful given the absence of an output schema. Still, it is sufficiently complete for a simple listing 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 zero parameters, so schema coverage is trivially 100%. The description correctly adds no parameter details, and the baseline for zero-parameter tools 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 states the action ('Get information') and the resource ('all return (aux) tracks'), with a specific scope indicator ('all'). This distinguishes it from sibling tools like get_return_track_info, which presumably targets a single return 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?

Usage is implied: the description names the exact resource and scope. However, it does not explicitly mention when to prefer this over get_return_track_info or other track-related tools, nor does it state any exclusions or alternatives.

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

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

No annotations are present, so the description must fully disclose behavior. It states the tool retrieves scale notes but does not specify the return format (e.g., MIDI note numbers vs note names), possible ranges, or whether it operates on the session scale or an arbitrary one. This lack of detail is a significant gap for a read 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 succinct and front-loaded, immediately stating the purpose followed by a clear parameter list. Every sentence has value, and the format is easy to scan with no redundant 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?

Given the tool's simplicity (2 parameters, no output schema), the description covers purpose and parameters adequately. However, it omits the return value format, which is critical since no output schema exists. This prevents the agent from predicting the tool's output structure, so the description is 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?

The description provides detailed parameter semantics beyond the schema: it explains root as 'MIDI note number for the root (0-127, where 60 = middle C)' and lists all valid scale_type values. This fully compensates for the schema's 0% description coverage, adding essential meaning not present in the structured data.

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 function: 'Get the notes in a musical scale.' This is a specific verb+resource that distinguishes it from siblings like get_song_scale_names (which returns scale names) and set_song_scale (which sets the scale).

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

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

No guidance is provided about when to use this tool versus alternatives, nor any prerequisites or exclusions. The description simply states what it does without contextualizing when it would be the appropriate choice, leaving the agent to infer usage.

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

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

With no annotations, the description carries full burden for behavioral transparency. It does not disclose the return format (e.g., RGB tuple, hex string), behavior for invalid scene_index, or potential errors, leaving the agent without critical operational details.

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

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

The description is brief and front-loaded with the main purpose. However, the parameter section is redundant with the schema and adds no value, slightly reducing efficiency.

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

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

Although this is a simple tool, the absence of an output schema and any description of return value or error behavior leaves a significant gap. An agent cannot know what to expect from the call, making the description incomplete for reliable 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% and the description's parameter section ('The index of the scene') merely restates the parameter name without adding semantic meaning. It doesn't explain indexing convention (e.g., zero-based), valid range, or relationship to scene list.

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 with a specific verb ('Get') and resource ('color of a scene'), clearly distinguishing it from sibling tools that operate on clips or tracks. However, it doesn't elaborate on what a 'scene' is or how color is represented.

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 usage context is provided. The description doesn't indicate when to prefer this tool over related tools like get_all_scenes or set_scene_color, nor mention any prerequisites or alternative approaches.

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 does not mention whether the operation is read-only (though 'get' implies it), what units the returned level is in, or what happens with invalid indices. This leaves the agent with incomplete expectations.

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 a single purpose sentence followed by parameter definitions. Every word earns its place, and there is no fluff or 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?

The tool is simple with only two parameters, but the absence of an output schema means the description should clarify what the agent can expect as a return value (e.g., level in dB). Without this, the description is functional but leaves a key gap in understanding the tool's result.

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 each parameter beyond the schema: track_index is 'the index of the source track' and send_index is 'the index of the send (0=A, 1=B, etc.)'. This adds crucial meaning that the bare schema lacks, effectively compensating 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 clearly states the tool's function: 'Get the send level from a track to a return track.' It uses a specific verb (Get) and resource (send level from a track to a return track), and it distinguishes itself from the sibling set_send_level and other track-related 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?

No guidance is provided about when to use this tool versus alternatives, such as set_send_level or get_return_tracks. The description simply states what it does without context on typical use cases or exclusions.

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

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

With no annotations, the description alone must disclose behavioral traits. It only restates the tool's name with slightly more words and does not mention that the operation is read-only, what information is returned, or any potential side effects.

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