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 implies a write operation ('Add') but doesn't specify permissions, side effects (e.g., overwriting existing notes), error conditions, or response format. This is inadequate for a mutation tool with zero annotation coverage, as critical behavioral traits are missing.

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

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

The description is front-loaded with the core purpose, followed by a structured parameter list. It avoids unnecessary fluff, but the parameter descriptions could be more concise (e.g., combining into a single sentence). Overall, it's efficiently sized for the complexity.

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

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

Given the tool's complexity (mutation with 3 parameters), lack of annotations, and no output schema, the description is incomplete. It misses behavioral details (e.g., error handling), parameter constraints, and usage context, making it insufficient for reliable agent invocation without additional assumptions.

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 parameters and provides minimal semantics for 'notes' (e.g., 'List of note dicts with pitch, start_time, duration, velocity, mute'), adding some value beyond the bare schema. However, it doesn't explain parameter constraints (e.g., valid ranges for indices or note fields) or usage examples, leaving significant 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 ('Add MIDI notes') and target resource ('to a clip'), making the purpose immediately understandable. It distinguishes this from siblings like 'create_clip' or 'fire_clip' by focusing on note manipulation rather than clip creation or triggering. However, it doesn't explicitly contrast with all possible alternatives, keeping it from a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing clip), exclusions, or related tools for different operations like editing existing notes. This leaves the agent without context for tool selection beyond the basic purpose.

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 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 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes a read operation ('Get'), implying it is non-destructive, but does not address permissions, rate limits, error handling, or what 'browser items' entails (e.g., files, folders, devices). For a tool with zero annotation coverage, this is a significant gap in transparency.

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

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

The description is concise and well-structured: a clear purpose statement followed by a brief parameter explanation with an example. Every sentence adds value without redundancy, making it easy to parse and front-loaded with essential information.

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

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

Given the complexity of interacting with Ableton's browser, no annotations, no output schema, and low schema description coverage, the description is incomplete. It lacks details on return values (what 'browser items' includes), error cases, or integration with sibling tools, leaving significant gaps for an agent to use it effectively.

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

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

The description adds some parameter semantics by providing an example ('e.g., "Instruments/Analog"') for the 'path' parameter, which clarifies the expected format. However, with 0% schema description coverage and only one parameter, this addition is minimal. It compensates slightly but does not fully explain the parameter's role or constraints beyond the example.

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 browser items at a specific path in Ableton's browser.' It specifies the verb ('Get'), resource ('browser items'), and context ('Ableton's browser'), which is clear and specific. However, it does not explicitly differentiate from its sibling tool 'get_browser_tree', which might list the entire browser structure, so it misses full sibling distinction.

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

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

The description provides no guidance on when to use this tool versus alternatives. It mentions the context ('Ableton's browser') but does not specify prerequisites, exclusions, or compare it to sibling tools like 'get_browser_tree' for broader navigation. This lack of usage context leaves the agent with minimal direction.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it 'Get[s] a hierarchical tree,' implying a read-only operation, but doesn't clarify aspects like authentication needs, rate limits, error handling, or what the tree structure looks like (e.g., JSON format, depth). For a tool with no annotations, this leaves significant gaps in understanding its behavior.

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

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

The description is appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by a parameter section. There's minimal waste, though it could be slightly more structured (e.g., bullet points for the enum list). Every sentence adds value, making it efficient.

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

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

Given the tool's moderate complexity (1 parameter, no output schema, no annotations), the description is somewhat complete but has gaps. It covers the purpose and parameter semantics well, but lacks behavioral details (e.g., return format, error cases) and usage guidelines. Without an output schema, it should ideally hint at the return value, but this isn't critical for a basic read 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 description adds substantial meaning beyond the input schema. Schema description coverage is 0%, and the schema only lists 'category_type' with a default and title. The description explicitly lists the enum values ('all', 'instruments', etc.), which are not in the schema, providing crucial semantic context for the single parameter. Since there's only one parameter, this compensation is effective.

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 a hierarchical tree of browser categories from Ableton.' It specifies the verb ('Get'), resource ('hierarchical tree of browser categories'), and source ('from Ableton'). However, it doesn't explicitly differentiate from its sibling 'get_browser_items_at_path', which likely retrieves items rather than categories, so it misses full sibling distinction.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get_browser_items_at_path' or explain the context for fetching categories versus items. Usage is implied only by the tool name and description, with no explicit when/when-not instructions.

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

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

With no annotations, the description 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.

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

The description is a single concise sentence that front-loads the primary verb and resource. It contains no redundant phrasing 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?

Despite the tool's simplicity (no parameters, no output schema), the description fails to specify what 'detailed information' includes or how it relates to other getter tools. The agent is left without a clear picture of the return value or the scope of 'session info'.

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, which gives a baseline score of 4. The description neither contradicts the schema nor needs to explain parameter meanings since there are none.

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 as 'detailed information about the current Ableton session', clearly distinguishing it from sibling tools like set_tempo or fire_clip. It is unambiguous 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?

The description gives no guidance on when to use this tool versus alternatives such as get_track_info or get_mixer. There is no mention of appropriate contexts, exclusions, or prerequisites.

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

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

With no annotations provided, the description must carry the full behavioral burden. It only says 'Get detailed information' without disclosing whether the operation is read-only, what side effects might occur, or how errors like an invalid track_index are handled. This is a significant gap for a data-retrieval 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 with the primary purpose. The parameter explanation is somewhat redundant with the parameter name, but it does not add unnecessary length, making it appropriately sized.

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

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

Given the absence of an output schema, the description needs to explain what 'detailed information' includes. It does not mention the return structure, possible fields, or any behavior, leaving the agent to guess. Even for a simple getter, this is 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 description explains track_index as 'the index of the track', which adds a basic role but not critical details such as range, base (0 or 1), or ordering. Since schema description coverage is 0%, the description is the only source of parameter meaning but fails to provide enough context for confident usage.

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

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

The description uses the specific verb 'Get' and names the resource 'a specific track in Ableton', which clearly differentiates from siblings like get_mixer or get_session_info. However, 'detailed information' is vague about what exactly is included, preventing a perfect score.

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

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

No guidance is provided on when to use this tool versus alternatives such as get_mixer or get_session_info. There is also no mention of track indexing conventions (e.g., zero-based vs one-based) or prerequisites, leaving the agent without explicit usage direction.

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

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

With no annotations provided, the description carries full burden but only states the action without disclosing behavioral traits. It doesn't mention whether this is a read/write operation, permission requirements, side effects, or what happens on success/failure. The description is minimal and lacks necessary context for safe invocation.

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

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

The description is appropriately sized with a clear purpose statement followed by parameter listings. It's front-loaded and wastes no words, though the parameter section could be integrated more smoothly.

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 3-parameter mutation tool with no annotations and no output schema, the description is incomplete. It lacks information about return values, error conditions, and behavioral details needed for reliable use in a DAW context. The purpose is clear, but operational context is 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?

Schema description coverage is 0%, so the description must compensate. It lists all three parameters with brief examples ('e.g. 'Drums/Drum Rack'') but doesn't explain their semantics deeply (e.g., what track_index refers to, format of kit_path). It adds some value but doesn't fully bridge the coverage gap.

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

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

The description clearly states the action ('Load a drum rack and then load a specific drum kit into it') with specific verbs and resources. It distinguishes itself from siblings like 'load_instrument_or_effect' by focusing on drum kits specifically, though it doesn't explicitly contrast with that 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?

No guidance is provided on when to use this tool versus alternatives like 'load_instrument_or_effect' or 'get_browser_items_at_path'. The description implies usage for drum kit loading but lacks context about prerequisites, timing, 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 carries full burden but lacks behavioral details. It states the action but doesn't disclose effects (e.g., overwrites existing instrument, requires valid URI format, may affect playback, or has no return value). This leaves gaps for a mutation tool with zero annotation coverage.

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

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

The description is front-loaded with the core purpose, followed by a parameter list. It's efficient with two sentences, though the parameter section could be integrated more smoothly. No redundant information, but slightly fragmented 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 mutation tool with 2 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on behavior, error conditions, return values, and context relative to siblings. More is needed given the complexity and missing structured data.

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 parameters and briefly explains 'track_index' and 'uri', but adds minimal semantics beyond schema titles (e.g., no format for URI, track index range, or examples). It partially addresses the coverage gap but not comprehensively.

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 ('Load') and resource ('instrument or effect onto a track'), specifying it uses a URI. It distinguishes from siblings like 'load_drum_kit' by being generic for instruments/effects, but doesn't explicitly contrast with other track-related tools like 'create_midi_track' or 'set_track_name'.

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

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

No guidance on when to use this tool versus alternatives is provided. It doesn't mention prerequisites (e.g., track existence), differentiate from 'load_drum_kit' (which might be a subset), or specify contexts like during playback vs. editing. Usage is implied but not articulated.

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

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

With no annotations provided, the description carries full responsibility for disclosing behavior. It only states the action 'set name' without mentioning side effects, whether the operation overwrites the existing name, potential errors, or any safety considerations. This is minimal and could mislead an agent about reversibility or failure modes.

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 one-line purpose followed by a bullet list of parameters. Every sentence is necessary and information-dense. It front-loads the core action and then lists parameters, making it easy to scan.

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

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

For a 3-parameter mutation tool with no annotations and no output schema, the description is under-specified. It does not disclose expected return behavior, failure conditions, or whether the clip must exist. The description is adequate only for the most basic understanding but lacks critical context for safe 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 provides only titles with 0% description coverage, so the description must add meaning. It does give brief explanations for each parameter (e.g., 'track_index: The index of the track containing the clip'), which clarifies their role. However, it does not go beyond obvious semantics and lacks constraints like valid ranges or format.

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

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

The description clearly states 'Set the name of a clip' which is a specific verb + resource. It distinguishes from sibling tools like set_track_name by explicitly targeting clips, and from fire_clip/stop_clip by the action being a rename.

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. It does not mention that set_track_name should be used for tracks, nor does it provide any context about prerequisites or exclusions. The usage is only implied by the 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'Set the tempo' without mentioning side effects, constraints (e.g., Ableton tempo range), or whether changes apply immediately to live playback. This leaves significant behavioral ambiguity for a mutating 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, consisting of one sentence plus a parameter listing. Every word earns its place, with no redundant information. This is a model of minimalism.

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 setter with a single parameter, the description covers the core meaning and parameter, but it lacks behavioral context such as side effects, error conditions, or return behavior. The absence of annotations and output schema means the description alone is not fully complete, though it is serviceable 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 description supplies the crucial semantic that the tempo is 'in BPM', which is absent from the schema (which only provides type and title). This adds real value beyond the structured data. However, it does not specify allowed ranges or default values, which would be even more helpful, but for a single parameter this is adequate.

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

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

The description explicitly states 'Set the tempo of the Ableton session', which is a specific verb + resource. It clearly distinguishes from sibling tools (e.g., set_track_volume, start_playback) as none of them handle tempo manipulation.

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 when-to-use or alternative guidance is provided. The usage context is implied by the tool name and description, but the description does not state any exclusions or mention when to prefer this tool over others. Since no tempo-related sibling exists, the ambiguity is low, but clear guidance is still missing.

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 only states the basic operation and lists parameters. There is no disclosure of side effects, error handling, index base (0-based vs 1-based), or return behavior. Since no annotations exist, the description carries this burden but fails to address it.

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 one sentence and two parameter bullets. Every word serves a purpose, and it is front-loaded with the core action. No extraneous information is present.

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 setter with no annotations and no output schema, the description is minimal. It omits critical context such as whether the track index is zero-based, what happens on invalid input, and whether the change is immediately reflected. The agent may need to guess these details, making the description incomplete for safe usage.

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

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

The description adds meaning to both parameters by specifying that track_index is 'the index of the track to rename' and name is 'the new name for the track'. This compensates for the schema's lack of property descriptions, but it does not clarify constraints like valid index ranges or name formatting.

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 clear action ('Set the name') on a specific resource ('a track'), which distinguishes it from sibling tools like set_track_volume or set_clip_name. However, it lacks additional context or scope, making it clear but not exceptionally helpful.

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 simply describes the action without any exclusions, prerequisites, or contextual advice for an AI agent deciding between related setter 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 disclosing behavior, but it only states the action. It does not mention side effects (e.g., whether it resumes from current position), preconditions (e.g., an open session), or behavior if already playing. This is a significant gap.

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

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

The description is a single, short sentence that is immediately informative. Every word earns its place, and it is front-loaded with the action and target. No redundant or extraneous text.

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

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

For a simple transport control, the description gives the core function, but it lacks context about session state or how it differs from 'fire_clip'. Since there are no annotations and no output schema, the description should provide more behavioral context to be fully sufficient, yet the tool's simplicity keeps it from being inadequate.

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

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

The input schema has zero parameters, so there is nothing to explain. According to rubric, a 0-parameter tool gets a baseline of 4. The description adds no parameter-specific information, but it doesn't need to.

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 ('Start') and a clear resource ('Ableton session'), making the tool's function unambiguous. It naturally distinguishes itself from siblings like 'stop_playback' and 'fire_clip' by referring to the session-level 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 provided on when to use this tool instead of related tools such as 'fire_clip' or 'stop_playback'. The expected context is implied by the name but not explicitly stated, offering no exclusions or alternative recommendations.

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

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

With no annotations, the description carries the full burden for behavioral disclosure. It only states the action without revealing side effects, idempotency, whether the clip must be currently playing, or how it interacts with clip slot 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 concise, with a single clear sentence and a simple parameter list. No unnecessary fluff, though the parameter descriptions could be integrated more naturally.

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 stop operation, the purpose and parameters are covered. However, with no annotations, it lacks guidance on when to use it versus stop_playback and any behavioral context. Acceptable but incomplete 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 schema provides no descriptions for the parameters, but the description clarifies that track_index is 'the index of the track containing the clip' and clip_index is 'the index of the clip slot containing the clip'. This adds meaningful context 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 'Stop playing a clip' clearly specifies the action (stop) and the resource (a clip). It distinguishes from sibling tools like fire_clip (which starts a clip) and stop_playback (which stops global playback).

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

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

No guidance is given on when to use this tool versus alternatives like stop_playback or fire_clip. The description does not mention relevant contexts or exclusions.

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

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

No annotations are present, so the description must convey behavior; it only states the stop action without disclosing side effects like whether the playhead resets or all clips are stopped.

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 directly states the tool's function with 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 zero-parameter tool with no output schema, the description is sufficient, though it could benefit from a note distinguishing session stop from clip stop.

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

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

With zero parameters, the description cannot add param semantics; baseline 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 clearly identifies the verb 'stop' and the resource 'playing the Ableton session,' differentiating it from sibling tools like start_playback and 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?

No guidance is given on when to use this tool versus stop_clip or other playback controls; it only states the action.

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