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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is an 'Add' operation (implying mutation/write), but doesn't clarify whether this appends to existing notes or replaces them, what permissions are required, whether it's idempotent, or what happens on failure. The description mentions the parameters but doesn't explain the tool's actual behavior 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 efficiently structured with a clear purpose statement followed by a parameter list. Every sentence serves a purpose - the first establishes the tool's function, and the parameter list provides necessary context. It's appropriately sized for a tool with three parameters, though could benefit from slightly more behavioral context.

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 that there's an output schema (which means the description doesn't need to explain return values), and the tool has moderate complexity with 3 parameters, the description is minimally adequate. However, for a mutation tool with no annotations and 0% schema description coverage, it should provide more behavioral context about how the addition works and any constraints or side effects.

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 all three parameters and provides some semantic context for 'notes' (specifying it's a list of note dictionaries with specific fields). However, with 0% schema description coverage, the description doesn't fully compensate for the lack of schema documentation - it doesn't explain valid ranges for indices, note field data types, or constraints. The parameter information is helpful but incomplete.

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 sibling tools like 'create_clip' or 'fire_clip' by focusing specifically on note addition rather than clip creation or triggering. However, it doesn't explicitly differentiate from other potential note-related operations that might exist in the broader 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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., whether the clip must already exist), nor does it suggest when other tools like 'create_clip' might be needed first. There's no indication of error conditions or constraints beyond what's implied by the parameters.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the creation action but lacks details on permissions needed, whether it overwrites existing clips, error conditions (e.g., invalid indices), or the response format. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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

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

The description is front-loaded with the core purpose in the first sentence, followed by a clean parameter list. Every sentence earns its place by providing essential information without redundancy. The structure is efficient and easy to parse, 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?

Given the tool's moderate complexity (3 parameters, mutation operation) and the presence of an output schema (which likely covers return values), the description is partially complete. It covers the basic purpose and parameters but lacks behavioral context (e.g., side effects, error handling) and usage guidelines. With no annotations, it should do more to compensate, but the output schema reduces the need to explain returns.

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 and briefly explains all three parameters ('track_index', 'clip_index', 'length'), adding meaning beyond the schema's 0% description coverage. It clarifies that 'length' is in beats with a default value, which compensates for the schema's lack of descriptions. However, it doesn't detail constraints like valid index ranges or unit specifics beyond 'beats'.

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

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

The description clearly states the specific action ('Create a new MIDI clip') and the target resources ('in the specified track and clip slot'), distinguishing it from siblings like 'create_midi_track' (which creates tracks) or 'add_notes_to_clip' (which modifies existing clips). The verb+resource combination is precise and 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 guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., whether the track must exist), exclusions (e.g., not for audio clips), or comparisons to siblings like 'fire_clip' (which triggers playback) or 'stop_clip' (which halts it). Usage context is implied but not 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates a MIDI track but doesn't mention what happens after creation (e.g., whether it becomes active, default settings, or if it requires specific permissions). For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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

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

The description is appropriately sized with two sentences: one stating the purpose and another explaining the parameter. It's front-loaded with the main action and avoids unnecessary details, though the parameter explanation could be slightly more integrated into the flow.

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 an output schema (which handles return values) and only one parameter with good semantic coverage in the description, the description is moderately complete. However, as a mutation tool with no annotations, it should ideally mention more about behavioral implications like side effects or error conditions.

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

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

The description adds meaningful context for the single parameter 'index', explaining that '-1 = end of list' which clarifies the default behavior beyond what the schema provides (schema coverage is 0%). This compensates well for the lack of schema descriptions, though it doesn't cover edge cases like invalid 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 the action ('Create a new MIDI track') and the target resource ('in the Ableton session'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'create_clip' or 'set_track_name', which prevents a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, when-not-to-use scenarios, or comparisons to sibling tools like 'create_clip' or 'set_track_name', leaving the agent without contextual 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 the full burden of behavioral disclosure. It states the action ('Start playing a clip') but doesn't explain what happens if the clip is already playing, whether this affects other clips or playback, error conditions, or the expected outcome. This leaves significant gaps in understanding the tool's behavior 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 brief and front-loaded with the main action, followed by a clear parameter list. It avoids unnecessary words, but the parameter section could be more integrated (e.g., explaining indices in context) rather than a bulleted list, 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?

Given the tool's moderate complexity (2 parameters, no annotations, but has an output schema), the description is minimally adequate. It covers the basic action and parameters but lacks details on behavior, usage context, and error handling. The presence of an output schema reduces the need to explain return values, but more completeness is needed for a playback 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 lists the parameters ('track_index' and 'clip_index') and their roles, but with 0% schema description coverage, it doesn't add meaningful semantics beyond what the schema titles ('Track Index', 'Clip Index') imply. It fails to explain what these indices represent (e.g., zero-based, range constraints) or how they relate to the system, offering only basic identification without deeper context.

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

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

The description clearly states the action ('Start playing a clip') and identifies the resource ('a clip'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'start_playback' or 'stop_clip', which also involve playback control, leaving some ambiguity about when to choose this specific tool.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'start_playback' (for overall playback) or 'stop_clip' (for stopping clips). It lacks context about prerequisites (e.g., whether the clip must exist or be loaded) or typical scenarios for firing clips, offering minimal 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes a read operation ('Get') but doesn't mention permissions, rate limits, error handling, or what 'browser items' include (e.g., files, folders, types). For a tool with no annotation coverage, this is a significant gap in transparency about how it behaves 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 appropriately sized and front-loaded: it starts with the core purpose, then details parameters in a clear, bullet-point format. Every sentence earns its place by adding value, with no redundant or vague information, making it efficient and easy to parse.

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

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

Given the tool has an output schema (which handles return values), one parameter with low schema coverage, and no annotations, the description is fairly complete. It covers the purpose and parameter semantics adequately. However, it could improve by addressing behavioral aspects like error cases or item types, but the output schema reduces the need for return value explanation.

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 context for the single parameter 'path' by explaining its format ('category/folder/subfolder') and specifying that 'category is one of the available browser categories in Ableton.' Since schema description coverage is 0% (the schema only lists 'path' as a string without details), this compensates well, providing essential semantics not 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 purpose with a specific verb ('Get') and resource ('browser items at a specific path in Ableton's browser'). It distinguishes from sibling tools like 'get_browser_tree' by focusing on items at a specific path rather than the entire tree structure. However, it doesn't explicitly contrast with all siblings, so it's not a perfect 5.

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

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

The description implies usage by specifying the path format and mentioning 'Ableton's browser,' which suggests context for when to use this tool. However, it lacks explicit guidance on when to choose this over alternatives like 'get_browser_tree' or other siblings, and no exclusions or prerequisites are mentioned. This leaves some ambiguity for 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'Get's data, implying a read operation, but doesn't mention any behavioral traits such as permissions needed, rate limits, response format, or whether it's safe or destructive. The description is minimal and lacks context beyond the basic action, leaving significant gaps 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 appropriately sized and front-loaded, starting with the main purpose followed by parameter details in a bulleted list. It uses two sentences efficiently, with no wasted words. However, it could be slightly more structured by explicitly separating usage guidance, but overall it's concise and well-organized.

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

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

Given the tool has 1 parameter, no annotations, and an output schema exists, the description is moderately complete. It covers the purpose and parameter semantics adequately, but lacks behavioral context and usage guidelines. The output schema likely handles return values, so that gap is mitigated. However, for a tool with no annotations, more behavioral disclosure 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 description adds meaningful semantics beyond the input schema, which has 0% coverage and only lists 'category_type' with a default. It explains that 'category_type' specifies 'Type of categories to get' and provides an enum list ('all', 'instruments', etc.), giving clear context for parameter usage. With only 1 parameter and schema coverage low, the description effectively compensates by detailing the parameter's purpose and options.

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

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

The description clearly states the verb 'Get' and the resource 'hierarchical tree of browser categories from Ableton', which specifies what the tool does. It distinguishes from siblings like 'get_browser_items_at_path' by focusing on categories rather than items, though it doesn't explicitly contrast them. The purpose is specific but could be more differentiated from its 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?

The description provides no guidance on when to use this tool versus alternatives. It mentions a parameter for category types but doesn't explain when to choose specific types or contrast with sibling tools like 'get_browser_items_at_path'. There's implied usage through the parameter list, but no explicit when/when-not instructions or alternatives are 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?

With no annotations, the description carries the transparency burden. The verb "Get" implies a read-only, non-destructive operation, but the description does not state what exactly is included in the session information, nor does it explicitly confirm no 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?

A single, front-loaded sentence contains exactly the necessary identifying information. No filler, repetition, or unnecessary 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?

Given that this is a no-argument getter with an output schema, the description is mostly complete: return values are presumably covered by the schema, and the action is clear. The main missing piece is usage context relative to sibling tools, but this is a simple enough tool that the description remains sufficient.

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 schema has 100% description coverage, so there is no parameter burden. The baseline for no-parameter tools is 4, and the description correctly references the current session as the implicit context.

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

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

"Get detailed information about the current Ableton session" clearly identifies a retrieval action with a specific resource. It does not explicitly distinguish itself from sibling info getters like get_track_info or get_arrangement_info, and "detailed information" is somewhat broad.

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 sibling getters such as get_track_info, get_arrangement_info, or get_scenes. There is no mention of alternatives, exclusions, or typical 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves information, implying it's likely read-only, but doesn't confirm this or address other behavioral aspects like error handling, performance, or what 'detailed information' entails. The description adds minimal context beyond the basic operation.

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

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

The description is appropriately sized with two sentences: one stating the purpose and one listing parameters. It's front-loaded with the core functionality, though the parameter listing could be integrated more seamlessly. There's no wasted text.

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

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

Given the tool has one parameter and an output schema exists (which likely describes the return values), the description is minimally complete. However, with no annotations and a simple but critical operation, it lacks context on error cases (e.g., invalid index) or behavioral nuances, leaving gaps for the agent.

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

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

The description explicitly lists the parameter 'track_index' and explains it as 'The index of the track to get information about', adding meaning beyond the schema's title 'Track Index' and type 'integer'. With 0% schema description coverage, this compensates adequately, but doesn't provide additional details like valid ranges or indexing conventions.

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

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

The description clearly states the verb ('Get') and resource ('detailed information about a specific track in Ableton'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'get_session_info' or 'get_browser_items_at_path', which also retrieve information but about different resources.

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

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

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, context, or exclusions, leaving the agent to infer usage based solely on the tool name and parameter.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool loads items but doesn't cover critical traits like whether this is a read/write operation, permission requirements, side effects (e.g., overwriting existing content), error handling, or response format. The description is minimal and misses key 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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by a structured parameter list with brief explanations. Every sentence adds value without redundancy, making it efficient 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?

Given the tool has an output schema (which reduces the need to describe return values), no annotations, and 3 parameters with 0% schema coverage, the description is moderately complete. It covers the purpose and parameters well but lacks behavioral context and usage guidelines, leaving gaps for a tool that likely involves session modifications.

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

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

With 0% schema description coverage, the description compensates by explaining all three parameters with examples (e.g., 'rack_uri: The URI of the drum rack to load (e.g., 'Drums/Drum Rack')'). It adds meaning beyond the bare schema by clarifying what each parameter represents and providing sample values, though it could detail constraints or formats further.

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

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

The description clearly states the tool's purpose with specific verbs ('load a drum rack' and 'load a specific drum kit into it') and identifies the resource (drum rack and drum kit). It distinguishes from siblings like 'load_instrument_or_effect' by specifying drum-related operations, though it doesn't explicitly contrast with them.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'load_instrument_or_effect' or other drum/session management tools. It lacks context about prerequisites (e.g., track existence) or exclusions, offering only basic parameter explanations without usage scenarios.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but does not cover critical aspects like whether this is a read-only or destructive operation, permission requirements, error handling, or side effects (e.g., if loading replaces existing content). This leaves significant gaps for an AI agent to understand 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 front-loaded with the core purpose in the first sentence, followed by a clear, bulleted list of parameters with brief explanations. Every sentence adds value without redundancy, making it efficient and easy to parse.

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

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

Given that there is an output schema (which reduces the need to describe return values) and no annotations, the description covers the basic purpose and parameters adequately. However, for a tool that likely involves mutation (loading onto a track), it lacks details on behavioral traits, error conditions, and integration with sibling tools, making it minimally viable but 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 adds meaningful context for both parameters: 'track_index' is explained as 'the index of the track to load the instrument on', and 'uri' includes an example format. Since schema description coverage is 0%, this compensates well by clarifying parameter purposes beyond the bare schema, though it could provide more detail on valid ranges or constraints.

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 an instrument or effect') and the target ('onto a track using its URI'), which is specific and actionable. However, it does not explicitly distinguish this tool from sibling tools like 'load_drum_kit', which might have overlapping functionality, so it misses the top 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, such as 'load_drum_kit' or other track-related tools. It lacks context on prerequisites, constraints, or typical scenarios, offering only basic parameter explanations without usage 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 provided, the description carries the full burden of behavioral disclosure. It states the action ('Set') but doesn't cover important aspects like whether this is a destructive operation, permission requirements, error conditions, or what the output schema returns. This is inadequate for a mutation tool with zero annotation coverage.

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

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

The description is perfectly concise and well-structured: a single sentence stating the purpose followed by a bulleted list of parameters with brief explanations. Every element adds value with zero wasted words, making it easy to parse quickly.

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

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

Given that this is a mutation tool with no annotations but with an output schema (which handles return values), the description covers the basic purpose and parameters adequately. However, it lacks important context about behavioral traits (e.g., whether changes are reversible, error handling) that would be needed 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 description provides clear semantic explanations for all three parameters ('track_index', 'clip_index', 'name') that go beyond the schema's basic titles. With 0% schema description coverage, this effectively compensates by explaining what each parameter represents, though it doesn't specify format constraints like valid index 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 verb ('Set') and resource ('name of a clip'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'set_track_name' or 'create_clip', but the specificity of 'clip name' versus 'track name' provides implicit distinction.

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

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

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., existing clips), exclusions, or comparisons to sibling tools like 'create_clip' or 'set_track_name', leaving the agent to infer usage 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 full burden of behavioral disclosure. It states the action ('Set the tempo') but does not describe effects (e.g., immediate change, impact on playback), permissions needed, or error conditions (e.g., invalid BPM range). This is inadequate for a mutation tool with zero annotation coverage.

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

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

The description is appropriately sized with two sentences: one for the purpose and one for parameters. It is front-loaded with the main action, though the parameter explanation could be integrated more smoothly. There is minimal waste, but it lacks structural polish.

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 one parameter, no annotations, and an output schema (which reduces need to explain return values), the description is minimally complete. It covers the basic action and parameter semantics but misses behavioral details and usage context, making it adequate but with clear gaps for a mutation tool.

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

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

Schema description coverage is 0%, so the description must compensate. It adds meaning by specifying 'tempo' as 'The new tempo in BPM', clarifying the parameter's purpose and unit. However, it does not provide details like valid ranges or constraints, leaving gaps despite the 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 verb ('Set') and resource ('tempo of the Ableton session'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'start_playback' or 'stop_playback' that might also affect tempo indirectly, so it lacks 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 does not mention prerequisites (e.g., session must be open), exclusions (e.g., cannot set tempo during playback), or related tools (e.g., 'get_session_info' to check current tempo), leaving usage context unclear.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Set the name') but lacks critical details: whether this requires specific permissions, if changes are reversible, potential side effects (e.g., affecting linked clips), or rate limits. This is inadequate 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 and well-structured: a clear purpose statement followed by a bulleted list of parameters. Every sentence earns its place with no wasted words, 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?

Given the tool's moderate complexity (mutation with 2 parameters), no annotations, and an output schema (which handles return values), the description is minimally adequate. It covers the basics but lacks behavioral context and detailed parameter guidance, leaving the agent with incomplete information for safe 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 lists both parameters ('track_index' and 'name') with brief explanations, adding meaning beyond the schema's 0% coverage. However, it doesn't clarify parameter constraints (e.g., valid index ranges, name length limits) or provide examples, leaving gaps in understanding.

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

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

The description clearly states the tool's purpose with a specific verb ('Set') and resource ('name of a track'), making it immediately understandable. However, it doesn't differentiate from sibling tools like 'set_clip_name' or 'set_tempo', which would require explicit comparison to achieve 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, context (e.g., during playback or editing), or exclusions, leaving the agent to infer usage from the tool name alone.

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

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

With no annotations, the description must disclose side effects or preconditions, but it only states the action without mentioning any impact on the session state, toggling behavior, or error conditions.

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

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

The description is a single, concise sentence that directly conveys the function without unnecessary words or 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?

The description lacks contextual details such as what happens if playback is already active, whether it resets position, or any prerequisites. Given the absence of annotations, this leaves the tool's behavior 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?

There are no parameters, so schema coverage is 100%. The description adds no parameter-specific info, but the baseline for high coverage is 3, which is appropriate.

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

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

The description clearly states the tool's function: starting playback in the Ableton session. It is specific and unambiguous, distinguishing it from sibling actions like stop_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?

The description provides no guidance on when to use this tool versus alternatives (e.g., fire_clip, start_playback vs. others). No context or prerequisites are mentioned.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Stop playing' implies a mutation action, the description doesn't specify whether this requires specific permissions, what happens if the clip isn't playing, or any side effects (e.g., does it reset clip position?). This leaves significant gaps for a mutation tool.

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

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

The description is extremely concise and well-structured: a clear purpose statement followed by bullet-point parameter explanations. Every sentence earns its place, with no redundant or vague language.

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 that there's an output schema (which handles return values), the description covers the basic purpose and parameters adequately. However, as a mutation tool with no annotations, it should ideally include more behavioral context (e.g., error conditions, side effects) 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 explicitly lists both parameters ('track_index' and 'clip_index') and explains their purpose ('The index of the track containing the clip', 'The index of the clip slot containing the clip'), adding meaningful context beyond the schema's 0% description coverage. This fully compensates for the schema's lack of parameter descriptions.

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

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

The description clearly states the action ('Stop playing') and the target resource ('a clip'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from sibling tools like 'stop_playback' or 'fire_clip', which might have related functionality in a music/DAW 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?

The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites (e.g., whether a clip must be playing first), exclusions, or comparison to sibling tools like 'stop_playback' (which might stop overall playback) or 'fire_clip' (which might start 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 provided, the description carries the full burden of behavioral disclosure. It does not state that this is a read-only or mutating operation, though 'Stop' implies a mutation of playback state. It also lacks information about side effects, such as whether it resets the playback position or stops all clips. This is a simple tool, but the lack of any behavioral details beyond the single verb is a 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, concise sentence that exactly states the tool's action. There is no wasted verbiage, and it is appropriately short for such 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 is simple, and there is an output schema provided, so the return value is likely documented there. The description does not specify the effect on current playback (e.g., does it stop just the session or also stop all clips?), which could be important for an agent to know. However, for a stop action, the purpose is clear enough. The description is missing some context about side effects, but overall it is adequate for a zero-parameter 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 tool has zero parameters, and schema description coverage is 100% (since there are no properties). The baseline for 0 params is often 4, but since there are no parameters to explain, the description doesn't need to add any parameter info. However, the description doesn't add any context about return values or arguments; it's minimal but sufficient. Given the simplicity, a score of 3 is reasonable, as there is nothing to add but also nothing missing.

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

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

The description states the action clearly: 'Stop playing the Ableton session.' This is direct and specific about what the tool does. It does not explicitly distinguish from the sibling tool 'stop_clip', which likely stops a clip rather than the session, but the resource ('session') 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 description gives no guidance on when to use this tool versus 'stop_clip' or 'start_playback'. While the purpose is clear, there is no mention of prerequisites, such as whether a session must be playing or if it can be called anytime. It also doesn't clarify the difference between stopping the session and stopping a clip, which could be confused.

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