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

No annotations are present, so the description carries the behavioral burden. It clearly says 'Return', which implies a read-only operation, and it specifies the returned data. However, it does not explicitly state that the call has no side effects, how indices are numbered, or what happens when no arrangement is loaded.

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 conveys verb, resource, and output with no filler or redundancy. Every word earns its place.

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

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

For a zero-parameter getter with no output schema, stating the exact return content ('index + name') is nearly sufficient for an agent to invoke and interpret the call. A concrete example return shape would improve completeness, but nothing essential is missing for a tool this simple.

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

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

The tool takes zero parameters and the input schema is empty, so there are no undocumented or ambiguous parameters. The high baseline for a zero-parameter tool 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 states a specific verb ('Return'), a specific resource ('current arrangement'), and the exact payload ('index + name'). The 'current' qualifier distinguishes this from sibling tools like arrangement_list and arrangement_select even without naming them.

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

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

No when-to-use or alternative guidance is provided. There is no statement telling an agent to use arrangement_list for enumerating arrangements or arrangement_select for changing the active one, so the routing decision is left entirely to inference.

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

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

With no annotations provided, the description carries the full burden of disclosing behavior. It clearly states the action and direction semantics, but it does not mention edge cases such as what happens when no next/previous marker exists, whether invalid direction values are allowed, or whether playback state changes.

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

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

The description is a single, dense sentence that front-loads the action, states the resource, and defines the only parameter's semantics. Every word earns its place with no repetition of the tool name or schema details.

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

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

For a simple one-parameter navigation tool with no output schema, the description provides enough information to invoke it correctly. Minor gaps remain around edge-case behavior and invalid direction values, but they do not prevent effective use in normal marker-jumping scenarios.

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

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

The input schema only defines an integer 'direction' with a default of 1 and 0% schema description coverage. The description compensates well by explicitly mapping +1 to next marker and -1 to previous marker, giving the parameter actionable meaning beyond the raw schema.

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

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

The description clearly states a specific verb ('Jump playhead'), the target resource ('marker'), and the scope ('within current arrangement'). It also explains the direction parameter meaning (+1/-1), making the tool easy to tell apart from transport_jog, transport_set_position, or pattern_jump_to_next/previous.

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 clear context: this is for moving the playhead between markers in the current arrangement, not for arbitrary transport movement or pattern navigation. It does not explicitly name alternatives or list when-not-to-use conditions, but the scope is unambiguous enough for an agent to select it appropriately.

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 behavioral burden. 'List' conveys a read-only enumeration and 'all' clarifies scope, but it does not state return format, ordering, or potential absence of arrangements. This is acceptable for such a simple tool but not richly transparent.

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

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

The description is a single, front-loaded sentence with no filler or redundant wording. Every word contributes to understanding the operation, which is ideal for a zero-parameter list 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?

For a no-parameter, no-annotation tool, 'List all arrangements' is enough to invoke the tool. However, with no output schema, the description does not specify what the returned list contains or how it is structured, leaving some ambiguity 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 tool has zero parameters, so the baseline is 4. The description adds no parameter details because none are needed; the input schema already confirms an empty argument object.

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 and resource: 'List all arrangements'. The word 'all' distinguishes this from sibling tools like arrangement_current and arrangement_select, making its scope 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?

There is no guidance on when to use this tool versus alternatives such as arrangement_current, arrangement_select, or arrangement_selection. The description relies entirely on the tool name to imply use cases, with no explicit context or exclusions.

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

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

No annotations are provided, so the description carries the behavioral burden. It clearly identifies this as a read-only 'Get' operation and specifies the output dimensions (ticks, bars, seconds). It does not detail edge cases, but for a simple getter this is sufficient.

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

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

The description is a single front-loaded sentence with no filler. Every word contributes useful information about what the tool returns.

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

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

For a zero-parameter read-only getter with no output schema, the description completely tells the agent what it will receive: playback time in ticks, bars, and seconds. Nothing essential is missing for correct 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?

There are zero parameters, so the input schema carries no documentation burden. The description does not need to explain parameter semantics, and the schema already reflects this fully.

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 specific operation ('Get'), the resource ('current playback time'), and the exact units ('ticks + bars + seconds'). This makes it clearly distinguishable from sibling tools like transport_status or arrangement_current.

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

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

No guidance is provided about when to use this tool versus alternatives. The description only states what the tool does and does not mention exclusions or when a transport-related sibling would be more appropriate.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It communicates the essential state change ('switch') but reveals nothing about side effects, what happens with an invalid index, whether playback is affected, or whether the action is reversible.

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

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

The description is a single, direct sentence with no filler, but it is under-specified rather than appropriately concise. It earns its place but omits critical details that an agent would need, so it is not a model of efficient completeness.

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

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

For a one-parameter selection tool with no output schema and no annotations, this description is not fully actionable. An agent cannot determine how to source a valid index, what the tool returns, or how to handle errors, leaving too much to inference.

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 exposes a single required integer 'index' with 0% description coverage, so the description must compensate. 'Switch to a different arrangement' implies the index selects which arrangement, but it never clarifies the base (0-based or 1-based), valid range, or relationship to arrangement_list.

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

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

The description uses a specific verb ('switch') and a specific resource ('arrangement'), making the core action clear. It is distinguishable from sibling tools like arrangement_current and arrangement_list because it is an action rather than a query, though it doesn't explicitly name those alternatives.

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

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

No guidance is given on when to use this tool versus arrangement_list or arrangement_current. It does not mention that a valid index might come from arrangement_list, nor does it state any prerequisites or context for switching arrangements.

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 exist, so the description carries full burden. It discloses return values (BPM, key, timings, transcription) and explains polyphonic vs monophonic transcription, including the requirement for the 'polyphonic' extra. However, it does not mention whether the tool is read-only 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 paragraph of 4 sentences, front-loaded with the purpose. Every sentence adds value: supported formats, return values, and transcription options. No wordiness or redundancy.

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

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

The description covers the main features and supported formats but lacks details on the return format (e.g., JSON, dictionary keys). No output schema exists, so the description should clarify how results are structured. Error conditions or performance costs are not mentioned.

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 links the 'polyphonic' parameter to its effect and mentions 'optional notes' (likely tied to extract_melody). However, it does not explicitly describe the 'path' parameter or confirm that extract_melody controls transcription. Schema coverage is 0%, so description should compensate more.

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 'Analyze' and specifies the resource as 'audio file', listing concrete analyses: tempo, key, onsets, loudness, optional notes. This distinguishes it from siblings like audio_slice or audio_melody_to_piano_roll.

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

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

The description implies usage for extracting musical features from audio files but does not explicitly state when to use this tool versus alternatives (e.g., audio_slice, voice_transcribe_file). No when-not or comparison to siblings 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?

The description discloses core behaviors (monophonic default, polyphonic option needing extra library, BPM and key snapping). However, it does not mention the clear_first parameter (which defaults to true) or the effect of transpose_semitones and min_confidence. No annotations are present, so the description carries full burden but is incomplete.

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

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

The description is relatively concise at 3 sentences, but it could be better structured by separating behavior from parameter guidance. It front-loads the main action and then lists parameter behaviors, which is reasonable.

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 7 parameters, no annotations, and no output schema, the description is insufficiently complete. It covers key behaviors but omits several parameters, does not explain the return value (state of piano roll after execution), and assumes knowledge of internal libraries (pyin, Basic Pitch). A more comprehensive description would describe all parameters and expected outcomes.

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 adds meaning for 4 of 7 parameters (path, bpm, snap_to_detected_key, polyphonic). It omits explanations for transpose_semitones, min_confidence, and clear_first, leaving gaps that the agent must infer from parameter names and defaults.

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 extracts notes from audio and pushes them into the FL piano roll. It distinguishes itself from siblings by specifying the default monophonic extraction (pyin) and optional polyphonic transcription, providing a specific verb and resource.

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

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

The description explains default vs. polyphonic modes and the effects of bpm and snap_to_detected_key, but does not explicitly guide when to use this tool versus alternatives like voice_notes_to_piano_roll or piano_roll_add_notes. No when-not-to-use advice is given.

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

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

No annotations are provided, so the description carries full burden. It explains the basic operation (slice at onsets, save as WAV) but lacks details on side effects, file overwriting, 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?

Two sentences front-loaded with the core function, followed by a practical example. 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 lack of annotations and output schema, the description should provide more context about disk writing behavior, file naming, and edge cases. It leaves many operational details unaddressed.

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

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

Schema coverage is 0%, meaning the description does not explain any parameter. The schema has titles and defaults, but the agent gains no additional semantics from the description.

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

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

The description clearly states the tool slices audio at detected onsets and saves as WAV files, with an example use case for drum loops. It distinguishes from sibling tools by specifying the slice-and-save function.

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

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

Provides a concrete use case (chopping drum loops) but no explicit guidance on when not to use it or alternatives among the many sibling tools.

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

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

With no annotations, the description carries the full burden of disclosing behavior. 'Record pan automation' implies a mutating action, but it does not say whether existing automation is overwritten, whether this captures live input or writes supplied points, whether it is undoable, or what side effects occur on the transport or channel.

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

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

The description is a single, front-loaded sentence with no filler. It is concise and immediately states the operation and target, though it is so minimal that it under-serves semantic richness.

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 cryptic parameters, no output schema, and zero annotations, this description leaves too much unspecified. An agent cannot confidently construct the 'points' array, determine channel indexing, or predict the result of the call. The sibling list provides some disambiguation, but not operational completeness.

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

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

Schema description coverage is 0%, and the description adds no parameter semantics. The key 'points' parameter is an array of objects with additionalProperties true, yet the description never clarifies the expected point format, required keys, pan range, or time encoding. 'Channel' is also left ambiguous regarding indexing.

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

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

The description uses a specific action and resource: 'Record pan automation on a channel.' This clearly differentiates the tool from sibling automation tools such as automation_record_channel_volume, automation_record_tempo, and automation_record_mixer_volume, and from non-automation pan tools like channel_set_pan and mixer_set_pan.

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 alternatives. The description does not explain when to record channel pan automation versus mixer pan automation, channel_set_pan, or other automation record tools. The agent must infer usage from the tool name alone.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Record' implies a mutating operation, but the description does not state whether existing automation is overwritten, whether transport must be running, or what side effects occur. This is a significant gap for a write-oriented tool.

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

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

The description is two sentences with no wasted words. The core action is front-loaded, and the points format is conveyed efficiently. Every token earns its place.

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

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

For a tool with no annotations, no output schema, and loosely specified nested objects, the description leaves critical gaps: the meaning of 'record' in this context, whether existing automation is replaced, the expected units of time_bars and value, and any transport or selection requirements. An agent could guess, but the definition is not complete enough for reliable invocation.

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

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

Schema description coverage is 0%, so the description must compensate. It adds meaning for 'points' by specifying the shape '{time_bars, value}', but it does not explain 'channel' beyond its integer type, nor does it clarify units or ranges for time_bars and value. Partial compensation 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 states a clear verb and resource: 'Record volume automation on a channel.' The phrase 'on a channel' and 'volume' distinguishes it from siblings like automation_record_tempo, automation_record_channel_pan, and automation_record_plugin_param. However, it does not explicitly differentiate from automation_record_mixer_volume, though 'channel' vs 'mixer' provides some 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 given on when to use this tool versus alternatives such as channel_set_volume or automation_record_mixer_volume. There is no mention of prerequisites (e.g., transport state, selection) or exclusions. The agent must infer usage solely from the name and minimal description.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It conveys that this is a recording/mutating operation, but does not disclose whether existing automation is overwritten, whether transport must be running, whether it blocks or is asynchronous, or what the success/failure behavior is.

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

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

The description is a single, front-loaded sentence with no filler words. Every word contributes to the core meaning, making it highly concise and 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?

For a mutation tool with no annotations, no output schema, and two required parameters, this description is far from complete. The agent is not told what 'points' should look like, what side effects recording has, or any prerequisites. It only states the high-level action.

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

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

Schema description coverage is 0%, and the description adds minimal meaning. 'track' is loosely inferred as the mixer track from the description, but 'points' remains entirely unexplained—no structure, required fields, or semantics for the array of objects are given, making it hard for an agent to construct a valid argument.

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 'Record' and the resource 'volume automation on a mixer track,' which is specific and separates it from sibling tools like automation_record_channel_volume by the 'mixer track' qualifier. It does not explicitly name alternatives, but the resource is distinct enough to prevent major confusion.

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 explicit guidance on when to use this tool versus the many sibling automation tools (e.g., automation_record_tempo, automation_record_channel_pan). Usage is only implied by the noun phrase 'mixer track volume automation,' but no conditions, exclusions, or alternative recommendations are provided.

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

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

With no annotations, the description must disclose side effects and behavior, but it only says 'Record automation.' It does not state whether existing automation is overwritten or appended, whether the plugin must be instantiated, how the recording is anchored, or what happens on failure. For a mutating operation 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 very concise and front-loaded, with the main purpose stated first and the `points` format following immediately. It contains no fluff, though the extreme brevity leaves out critical parameter context that could have been included without much length.

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

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

Given five parameters, zero schema description coverage, no annotations, and no output schema, the description is materially incomplete. It offers only the `points` shape; an agent cannot determine how to specify the plugin channel/parameter/slot/location or what success/failure looks like.

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

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

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It adds useful meaning only for `points`, showing `[{time_bars, value}]`, but leaves `channel`, `param`, `slot`, and `location` completely unexplained, including which are required and how they identify the target plugin.

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

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

The description states a specific action ('Record automation') and a specific resource ('a plugin parameter'), immediately distinguishing it from sibling tools like automation_record_channel_volume and automation_record_tempo. No ambiguity remains about what this tool operates on.

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

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

The phrase 'on a plugin parameter' implies this tool is for plugin-parameter automation rather than channel, mixer, or tempo automation. However, there is no explicit guidance about when to choose this tool over its automation_record_* siblings, nor any mention of prerequisites or exclusions.

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

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

There are no annotations, so the description must carry behavioral disclosure. It does state that the MCP will 'sequence them live' and use 'REC flags to create a real automation clip,' which explains the core side effect. However, it does not disclose whether existing tempo automation is overwritten or appended, whether recording requires a running transport, or whether the operation is destructive or undoable.

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

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

The description is short, front-loaded with the core purpose, and uses only three sentences to cover the action, the parameter format, and the expected recording behavior. Every sentence contributes essential information without filler or fluff.

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

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

For a single-parameter automation tool with no annotations or output schema, the description is largely complete: it defines the input data, describes the recording mechanism, and names the target. It lacks only explicit guidance on preconditions or when the tool should be avoided, which keeps it from being 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 schema provides only 'points' as an array of untyped objects with additionalProperties true, so the description carries nearly the full burden for parameter meaning. The description compensates well by defining points as a list of {time_bars: float, bpm: float}, giving both key names and types, though it leaves the exact meaning of time_bars implicit.

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

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

The description opens with 'Record an automation ramp on the master tempo,' which combines a specific verb, resource, and target. This clearly differentiates it from sibling tools like automation_record_channel_volume and automation_record_mixer_volume by naming the master tempo as the automation target.

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

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

The description implies the use case: record tempo automation when you want a ramp on the master tempo. However, it does not explicitly state when to prefer this over alternatives such as transport_set_tempo or the other automation_record_* tools, nor does it mention any exclusions or prerequisites.

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

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

With no annotations provided, the description carries the full burden of explaining behavior, but it only says 'List of all channels with basic info.' It does not clarify side-effect-free behavior, return shape, ordering, or whether the list includes hidden/inactive channels, which are meaningful gaps for an agent.

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 with no filler or repetition. It is front-loaded with the verb and resource, and every word earns its place.

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

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

For a zero-argument tool this is minimally viable, but the absence of an output schema makes 'basic info' ambiguous. An agent may not know what fields to expect, whether the result is sorted, or if there are any exclusions. It is adequate but has clear gaps.

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

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

The tool has zero parameters and the schema is trivially complete, so the description cannot add parameter-level meaning. Per the baseline for 0-param tools, this is adequate; there is no misleading parameter information.

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

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

The description uses a clear verb ('List') and a clear resource ('all channels'), distinguishing it from sibling channel tools like channel_count or channel_info that target a count or a single channel. It stops short of a 5 because 'basic info' is vague and does not say exactly what fields are included.

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 choose this over related tools such as channel_count, channel_info, or mixer_all_tracks. The description only states what the tool does, leaving the agent to infer the appropriate use case without any explicit when-to-use or when-not-to-use information.

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

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

There are no annotations, so the description carries the burden of disclosing behavior. It clearly indicates the destructive nature of the operation ('Clear all step-sequencer bits'), which is important context. However, it does not mention irreversibility, return values, or whether it affects only the current pattern when pattern is omitted.

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

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

The description is a single concise sentence with no filler. The core action and scope are front-loaded, and the parenthetical efficiently covers the optional pattern behavior.

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 two-parameter operation with no output schema and no annotations, this description covers the essential behavior and parameter roles adequately. It could be improved by stating that clearing is destructive/permanent, but the core purpose and parameters are sufficiently specified.

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 must supply parameter meaning. It clarifies that index refers to the channel and that pattern is optional ('current or specified pattern'), but it does not explain index's required role, how index maps to a channel, or what the pattern parameter's null default means in practical terms.

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

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

The description clearly states the action (clear), the target (step-sequencer bits), and the scope (for the channel, optionally in a specified pattern). It is specific enough to distinguish this tool from sibling tools like channel_get_step_sequence, channel_set_step_sequence, and channel_quick_quantize.

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

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

The description implies when it should be used (when the user wants to clear step-sequencer bits), but it provides no guidance about when not to use it, prerequisites such as having a channel selected, or differences from related tools like channel_set_step_sequence. Usage context is minimal.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It states that the count is global across all groups, which is useful, but it does not describe behavior when global_count is false, side effects, or return format. For a simple read-only count, this is adequate but not rich.

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

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

The description is a single sentence that front-loads the core meaning with no filler. It is appropriately short for a one-parameter tool, though it is too sparse to fully compensate for the lack of parameter documentation.

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

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

For a one-parameter count tool, the description covers the core return concept and the global scope, but leaves the false branch of global_count undefined and gives no usage context relative to sibling tools. Without annotations or an output schema, this is only minimally complete.

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

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

Schema description coverage is 0%, so the description must compensate. It only glosses the global_count parameter via 'global = across all groups' and does not explain what false means or note that the parameter is optional with a default. The parameter name and default are visible in the schema, but the description adds little beyond that.

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 identifies the resource (channel count) and a specific scope (global across all groups), which differentiates it from sibling tools like pattern_count and mixer_count. It lacks an explicit verb such as 'get' or 'return', but the intent 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?

No guidance is given on when to use this tool instead of alternatives like channel_all or pattern_count. The parenthetical scope is the only context and does not help an agent decide among siblings.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It clearly states read-only behavior and adds 0-based positioning. However, it omits the return value format and what happens on invalid positions, and it never explains the role of 'index'.

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 focused sentence with no filler. The key action is front-loaded, and the scoping detail is compactly placed.

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

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

There is no output schema, so the description should at least indicate what the tool returns, but it does not. It also leaves 'index' unexplained and does not mention whether the bit is a boolean on/off value or how out-of-range positions behave.

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 clarifies 'position' as a 0-based step, but 'index' is left entirely undefined. With one of two required parameters unaddressed, parameter semantics are 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 states a specific verb and resource: 'Read a single step-sequencer bit.' The parenthetical clarifies the step position, and the read action contrasts with the sibling set_grid_bit. However, it does not fully distinguish from get_step_sequence or clarify what 'index' refers to.

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 word 'Read' implies this is for reading rather than writing, and 'single bit' implies it is not for reading sequences. But there is no explicit when-to-use vs alternatives guidance, and no exclusions or conditions 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?

The verb 'Read' clearly signals a non-mutating operation, which is important since no annotations are provided. However, the description does not disclose edge-case behaviors such as invalid channel indices, omitted pattern semantics, or whether the returned sequence is for the active pattern or all patterns.

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 that communicates the core action and the one optional modifier. Every word adds value and there is no redundancy.

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

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

With no output schema and no annotations, the description should explain what the returned step sequence looks like and what omitting pattern does. It does neither, leaving the agent to guess at the return format and default behavior, making the definition minimally viable at best.

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 must supply parameter meaning, and it does map 'index' to a channel and 'pattern' to a specific optional pattern. Still, it does not explain valid values, whether pattern refers to a pattern index/ID, or what the default null pattern means beyond 'optional.'

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 and resource: 'Read the full step sequence for a channel,' with an optional pattern qualifier. It clearly distinguishes itself from sibling setters like channel_set_step_sequence and more granular getters like channel_get_grid_bit or channel_get_step_params.

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

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

There is no explicit guidance on when to use this tool versus channel_get_grid_bit, channel_get_step_params, or channel_set_step_sequence. The description implies a read operation but does not state exclusions, prerequisites, or what happens when the pattern argument is omitted.

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 burden of behavioral disclosure. It clearly conveys a read-only inspection operation and lists the exact channel attributes returned, which is strong transparency for a simple getter. It does not cover error behavior for invalid indices, but that is minor for an info-style 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?

A single compact sentence front-loads the scoping phrase 'one channel' and uses a comma-separated enum of return fields. There is no filler or redundant restating of the tool name, 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 simple one-parameter getter, the field list provides a useful picture of the return content. However, it is incomplete in a few areas: it never defines the index parameter's base/range, and with no output schema it does not describe the return structure beyond the property names.

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

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

The schema has 0% description coverage, and the tool description adds no meaning to the index parameter. It does not explain whether index is zero-based, what its valid range is, or how it relates to channel_count or channel_all, so an agent must infer the parameter semantics from the parameter name alone.

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

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

Description states the tool provides detailed information about a single channel and enumerates exactly which properties are returned (name/volume/pan/pitch/color/mute/solo/fx_route/type). The phrase 'one channel' also distinguishes it from the sibling channel_all, so an agent can select it confidently.

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 targeted inspection of one channel, but it never explicitly states when to use this tool versus channel_all or other channel getters, nor does it mention exclusions or prerequisites. Usage context is only implied through the word 'one channel'.

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 behavioral burden: it discloses the tri-state behavior that null/omitted toggles and true/false set or unset mute state. However, it does not mention side effects, persistence of mute state, or what happens when the index is invalid.

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 one short, front-loaded sentence with no filler. It efficiently communicates the three operations and the toggle convention in eight 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 two-parameter setter with no output schema or annotations, the description is nearly adequate, but it omits what 'index' refers to and says nothing about return or error behavior. The implicit channel target is a small completeness gap given the many mute-like sibling tools.

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 phrase 'None = toggle' gives the muted parameter a semantic meaning beyond the schema's bare default of null. The index parameter is not described at all, and with 0% schema description coverage the description only partially compensates for the missing parameter documentation.

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 names a concrete operation set—mute, unmute, toggle—and '(None = toggle)' clarifies the third mode. It does not explicitly say the target is a channel, so it relies on the tool name to differentiate it from sibling tools like mixer_mute and playlist_mute_track.

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

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

No guidance is given about when to use channel_mute versus mixer_mute or playlist_mute_track, and no prerequisites or exclusions are mentioned. The only usage hint is the None = toggle convention, which is parameter-level guidance rather than tool-selection guidance.

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

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

No annotations are provided, so the description carries the full burden. It only states the action and scope; it does not disclose whether quantization overwrites the original notes, whether it is undoable, what snapping resolution is applied, or how 'quick' differs from regular quantization.

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

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

The description is a single front-loaded sentence with no redundant filler. It loses one point only because it is terse to the point of omitting actionable parameter and behavioral details, not because the existing text is wasteful.

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 mutating tool with no annotations and no output schema, this is thin: it leaves the parameter undefined, the quantization behavior unspecified, and the distinction from piano_roll_quantize unstated. An agent would have to guess before invoking it.

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

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

Schema description coverage is 0%, and the description does not explain the required 'index' parameter at all. An agent cannot tell from the description whether index refers to the channel index, pattern index, or note index; the parameter title alone is insufficient.

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

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

The description names a concrete verb ('quantize') and a specific resource ('the channel's notes in the current pattern'), which makes the action identifiable and separates it from other channel operations. It doesn't explicitly name sibling tools like piano_roll_quantize, but the channel/current-pattern scoping gives enough 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?

There is no guidance on when to choose this over alternatives such as piano_roll_quantize or humanize, and no mention of limitations such as whether it works on the selected channel or applies a default grid strength. The intended condition of use must be inferred from the name.

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

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

With no annotations, the description must carry the full behavioral disclosure burden. It states the core action but does not mention whether this is a mutating operation, whether prior routing is replaced, whether mixer track assignment is destructive, or what response or state changes result. This is a significant gap for a routing mutation.

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

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

The description is a single sentence with no filler or repetition. Every word contributes meaning, and the 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 two-parameter mutating routing tool with no annotations, no output schema, and no parameter descriptions, this is incomplete. It does not clarify parameter meaning, numbering conventions, or how this action relates to nearby mixer routing tools, leaving an agent under-equipped to invoke it correctly.

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

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

Schema description coverage is 0%, so the description must compensate for the bare integer parameters. It loosely maps 'channel' to the likely index parameter and 'mixer insert track' to mixer_track, but it never explicitly explains what 'index' refers to, whether values are zero-based, or what range mixer_track accepts.

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 ('Route') with a clear resource and target ('a channel', 'a given mixer insert track'). It is broadly distinguishable from channel volume/pan tools, though it does not explicitly differentiate itself from sibling mixer_route or mixer_link_to_channel.

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 mixer_route, mixer_link_to_channel, or mixer_set_send_level. It does not mention prerequisites, context, or exclusions, leaving the agent to infer the intended use case.

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 behavioral disclosure burden and does add one useful detail: exclusive=True deselects others, implying multi-select when false. However, it doesn't disclose whether the tool returns anything, errors on invalid indices, or whether the selection persists or affects subsequent operations.

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

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

The description is a single, front-loaded sentence with no filler. Every word earns its place, and the exclusive behavior is integrated cleanly without bloat.

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 two-parameter tool with no annotations and no output schema, the definition is minimal but mostly serviceable: an agent can infer the selection action and grasp the exclusive option. It still leaves index semantics and exclusive=False behavior implicit, and doesn't mention whether the selection is additive or has UI-level 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?

Schema description coverage is 0%, so the description must compensate for missing parameter documentation. It explains exclusive's effect, but says nothing about what index refers to, valid ranges, or zero-based numbering, leaving the core parameter underspecified.

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 verb+object ('Select channel') and includes the key exclusive behavior. It doesn't explicitly differentiate from siblings like channel_selected or ui_selected_channel, but the action-oriented wording makes the intended operation 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?

There is no guidance on when to use this tool versus alternatives such as channel_selected or other channel_* tools. The description doesn't mention prerequisites, exclusions, or context in which channel_select is the appropriate choice.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It does disclose the possibility of returning null, which is useful, but it does not clarify whether the operation is read-only, what 'selected' refers to, or what shape the returned channel data takes.

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

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

The description is a single, front-loaded sentence that wastes no words. It delivers the core behavior and the null edge case efficiently.

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

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

For a simple zero-parameter getter, the description is adequate, but it leaves ambiguity about the return format (name, id, index) and does not clarify how it differs from ui_selected_channel. With no output schema, slightly more detail would be needed for full completeness.

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

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

The tool has zero parameters, so there are no parameter semantics to document. The description is not required to add parameter-level detail, and the baseline of 4 applies.

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

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

The description clearly states a specific verb ('Return') and resource ('currently selected channel'), and notes the null case. It does not explicitly distinguish itself from the sibling ui_selected_channel, so it misses the top score for sibling differentiation.

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

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

There is no guidance on when to use this tool versus alternatives like channel_all or ui_selected_channel. The description implies a simple getter but does not state exclusions or selection criteria.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals that this is a mutating operation ('Set') and documents accepted color formats, but it does not mention side effects, return values, reversibility, or any requirements beyond the parameters themselves.

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

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

The description is two short sentences with no wasted words. The primary purpose is front-loaded, and the only extra detail is directly useful for constructing valid parameter values.

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 no annotations, no output schema, and incomplete parameter documentation, the description is too thin. An agent can guess that 'index' identifies the channel from context, but the description itself does not confirm that or provide enough surrounding behavioral context to make a confident invocation.

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

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

Schema coverage is 0%, so the description must compensate. It adds concrete meaning for the 'color' parameter by specifying '#RRGGBB' or 'rgb(r,g,b)' formats. However, the 'index' parameter remains undocumented in both the schema and the description, leaving an important semantic 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 states a clear, specific verb and resource: 'Set channel color.' It naturally distinguishes this from sibling tools like pattern_set_color, mixer_set_color, and playlist_set_track_color because it explicitly names the channel as the target.

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

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

The description implies when to use the tool: whenever a channel color needs to be changed. However, it provides no explicit guidance about when not to use it or how it compares to similarly named color-setting tools for patterns, mixer tracks, or playlists.

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, but it only states the action. It does not disclose side effects, constraints, how true/false maps to setting or clearing a bit, or what happens outside a valid range.

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 single sentence is concise and front-loaded, but it is too sparse to be considered appropriately sized for a three-parameter mutation 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 description is incomplete for a tool with no annotations, no output schema, and zero schema coverage. It lacks parameter semantics, usage context, and behavioral details needed to call it correctly.

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

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

Schema description coverage is 0%, and the description adds no meaning to index, position, or value. An agent cannot know that index identifies a channel, position is a grid step, or value is the bit state.

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 ('Set') and identifies a precise resource ('a single step-sequencer bit'). The qualifier 'single' helps distinguish it from sibling tools like channel_set_step_sequence, though it never names an alternative.

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 about when to use this tool versus channel_get_grid_bit, channel_set_step_sequence, or channel_clear_step_sequence. The context is only implied by the word 'single'.

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

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only conveys the basic rename action and omits side effects, validation rules, index base, uniqueness requirements, or what happens if the channel does not exist.

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 maximally concise and front-loaded, but it is under-specified for a mutating API call. It is a single clear sentence, yet it earns its place by sacrificing important 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?

Although the tool is simple with only two required scalar parameters and no output schema, the description leaves the key parameter semantics and behavioral expectations undefined. An agent cannot reliably determine how to target the correct channel or what the consequences of the rename are.

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

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

Schema description coverage is 0%, and the description does not explain either parameter. While 'name' and 'index' are somewhat self-explanatory, there is no information about what index refers to, whether it is zero-based, or whether name has any 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 states a clear action ('Rename') and a resource ('a channel'), which distinguishes it from similar tools like mixer_set_name and pattern_rename. However, it does not clarify what a 'channel' refers to in this DAW context or how the target channel is identified, so it stops short of full precision.

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 about when to use this tool versus alternatives such as mixer_set_name or pattern_rename. No conditions, exclusions, prerequisites, or sibling references are provided; usage is only implied by the action verb.

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

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

Annotations are absent, so the description carries the full burden of behavioral disclosure. It states the mutation ('Set channel pan') but does not mention clamping behavior, persistence, side effects, whether the channel must be selected, or what happens on invalid input. This is a significant gap for a write operation with no annotation support.

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 terse sentence that front-loads the verb and resource without any fluff. The range is included efficiently, though the overall terseness contributes to the information gaps penalized in other dimensions.

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 two-parameter mutation tool with no annotations and no output schema, this description is too minimal. It does not define the index parameter semantics or clarify how this interacts with related concepts like mixer panning, leaving an agent to guess critical invocation details.

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

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

Schema description coverage is 0%, so the description must compensate for parameters. It adds meaning to 'pan' by giving the range (-1.0..1.0), but it leaves 'index' completely unexplained, including whether it is zero-based and which channel namespace it refers 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 and resource ('Set channel pan') and even includes the valid range (-1.0..1.0), making the core purpose clear. It does not explicitly distinguish itself from sibling tools like mixer_set_pan or channel_set_volume, but the resource and operation are unambiguous enough.

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 mixer_set_pan or automation_record_channel_pan. The intended use is only implied by the name and description, with no exclusions or conditions 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 full disclosure burden. It reveals the core mutation and the range constraint, but does not mention side effects, return behavior, validation behavior, or whether the change is persistent. Still, the range provides some behavioral value beyond the raw schema.

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

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

The description is a single compact sentence with the essential operation and range in parentheses. There is no filler or redundant restatement of the tool name.

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 no annotations and no output schema, the missing meaning of the required 'index' parameter is a significant gap. The description is barely adequate for someone to invoke the tool correctly without additional context.

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

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

Schema description coverage is 0%, so the description must compensate. It explains that 'semitones' is a value in the range -120..120, but says nothing about what 'index' refers to or how the channel is identified, leaving a required parameter underspecified.

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 ('Set') and precise resource ('channel pitch offset'), and adds the unit and valid range ('semitones (-120..120)'). This clearly distinguishes it from siblings like channel_set_volume or channel_set_pan.

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 intended use is implied: call this when the agent needs to adjust a channel's pitch. However, it does not explicitly state when to prefer this over alternatives or any preconditions such as whether the channel index must be valid.

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

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

With no annotations, the description carries the burden of explaining side effects. It does state that the operation overwrites the step sequence and constrains steps to 0/1 integers with length up to the pattern length, which is useful. However, it does not disclose behavior around the optional pattern parameter, validation failures, return values, or which channel scope is affected.

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

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

The description is compact, front-loaded with the core action, and every sentence adds relevant information. The steps format and length constraint are useful and expressed without 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?

For a 3-parameter tool with no schema descriptions, no annotations, and no output schema, this description is not complete enough for reliable invocation. An agent still needs to infer what 'index' refers to, how the optional 'pattern' works, and what overwrite means in terms of existing data and return behavior.

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

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

Schema description coverage is 0%, so the description must compensate, but it only explains 'steps'. The 'index' and 'pattern' parameters are left semantically unexplained; 'pattern' is especially ambiguous given the description mentions 'pattern length' without connecting it to the parameter.

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

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

The description clearly states a specific verb ('Overwrite') and resource ('step sequence'), so an agent can tell this is a write operation on a channel's step sequence. It implicitly contrasts with siblings like channel_get_step_sequence and channel_clear_step_sequence, though it does not name them or explicitly describe the boundary.

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

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

No guidance is given about when to use this tool versus related tools such as channel_clear_step_sequence, channel_get_step_sequence, or channel_set_grid_bit. The 'overwrite' wording implies full replacement, but there is no explicit instruction about when this tool is preferred or what alternatives exist.

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

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

With no annotations, the description carries the full burden. It does disclose a meaningful scale detail (0.0..1.0 and 0.78 ≈ 0 dB), which helps the agent reason about volume values. However, it does not mention behavior for out-of-range inputs, clamping, or how channel volume relates to mixer volume.

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

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

One concise sentence front-loads the action and packs the important scale reference into a parenthetical. Every part earns its place and there is no wasted wording.

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 setter, the description covers the core value semantics but lacks index conventions and any guidance separating channel volume from mixer volume. An agent can infer some context from sibling names, but the description alone is only minimally complete.

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

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

Schema description coverage is 0%, and the schema only names the parameters Index and Volume. The description explains the volume scale and dB mapping, which is valuable, but it gives no semantics for the required index parameter. It partially compensates but leaves a key parameter underspecified.

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

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

The description states a specific action (Set) and a specific resource (channel volume), and adds the valid range with a dB reference. It is clear and distinguishable from sibling setters like channel_set_pan and mixer_set_volume by the resource name, though it does not explicitly call out alternatives.

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

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

There is no guidance on when to use this tool versus mixer_set_volume, nor any mention of how to choose the channel index. An agent must infer usage from the tool name and sibling context.

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

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

With no annotations, the description carries the behavioral burden and does disclose three operation modes: solo, unsolo, and toggle. However, it does not explain side effects, return behavior, or whether soloing one channel affects other channel solo states.

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

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

The description is extremely concise, with no filler, and places the core behavior first. The slash-compressed notation 'Solo / unsolo / toggle' is efficient but slightly cryptic compared to a full sentence.

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 this is nearly sufficient, and the null-to-toggle behavior is the most important detail. Still, the absent output schema and lack of explicit guidance for the `index` parameter and sibling tools leave moderate gaps.

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

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

Schema coverage is 0%, so the description must compensate. It clarifies the `solo` parameter's meaning via 'None = toggle' and implies true/false map to solo/unsolo, but it does not explain the `index` parameter beyond the schema's bare 'Index' title.

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 on a channel resource: solo, unsolo, or toggle. The parenthetical 'None = toggle' clarifies the primary state-dependent behavior, and the tool name disambiguates it from mixer_solo and playlist_solo_track.

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

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

There is no explicit guidance about when to use this tool versus channel_mute, mixer_solo, or playlist_solo_track. The description implies a channel-targeted solo operation, but it does not state prerequisites, alternatives, or context.

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

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

With no annotations, the description carries the full behavioral disclosure burden. It honestly states that the note is one-shot and not recorded, signaling transient, non-destructive behavior. It does not discuss return values or effects on playback state, but the most important safety-relevant trait is covered.

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

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

The description is a single, front-loaded sentence with no filler. The parenthetical adds key behavioral context without bloating the 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 tool with four parameters, no annotations, and no output schema, this is minimally viable but thin. It makes the purpose and non-recording behavior clear, but leaves channel addressing, velocity/duration semantics, and any side effects to be inferred from the schema.

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

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

Schema description coverage is 0%, and the description adds almost no parameter-level meaning. 'One-shot MIDI note' and 'the channel' weakly map to note and index, while velocity and duration_ms are completely unaddressed; an agent must rely on parameter names and defaults alone.

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

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

The description uses a specific verb, 'Trigger', names the exact resource, 'one-shot MIDI note', and scopes it to 'the channel'. The parenthetical 'live preview, not recorded' clearly distinguishes it from recorded note-editing tools like piano_roll_add_notes.

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

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

The description clearly frames when to use this tool: for live preview/auditioning, not for recording or arrangement editing. It explicitly excludes recording, which is a strong usage boundary, though it does not name a specific sibling tool as the alternative.

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

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

No annotations are provided, so the description carries full burden. It notes failure behavior offline but does not disclose that it is read-only, what 'detailed info' includes, or the nature of failure (error/exception). Significant gaps.

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

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

Single sentence, 10 words, front-loaded with 'Detailed info'. No extraneous content—every phrase adds value.

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

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

Given no output schema and no annotations, the description minimally covers purpose and a failure condition but omits return structure or format. Adequate for a simple info tool but not fully complete.

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

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

Tool has zero parameters and schema coverage is 100%. Baseline is 4; description adds no param details but does not need to. No deduction.

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 'Detailed info about the MIDI bridge', specifying the verb (get info) and the resource (MIDI bridge). It also adds a distinguishing condition (fails if offline), making it clear among sibling tools.

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

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

The description implies usage when the bridge is online via 'fails if it's offline', but provides no explicit when-not-to-use or alternative tools. Among siblings, related tools like fl_ping or fl_reconnect are not mentioned.

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

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

With no annotations, the description carries full burden. It states the tool can invoke any action with arbitrary params, but fails to disclose potential risks (e.g., destructive operations), error behavior, or the scope of 'MIDI bridge.' 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 a single sentence, front-loaded with the key concept ('Escape hatch') and purpose. Every word is justified; 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?

Given no output schema and the generic nature of the tool, the description is too minimal. It omits crucial details like how to format action strings, what the params object expects, error handling, and side effects. An AI agent would likely struggle to use this tool correctly without additional knowledge.

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

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

Schema description coverage is 0%, and the description adds only 'with arbitrary params,' not explaining valid values for 'action' or structure of 'params.' The description does not compensate for the schema's lack of detail.

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

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

The description clearly states it invokes any action the MIDI bridge accepts with arbitrary params, and the name 'Escape hatch' signals its role as a generic fallback, distinguishing it from the many specific sibling tools.

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

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

The description implies use when no specific tool exists, but does not explicitly state when to use or avoid it, nor provides alternatives. The term 'Escape hatch' hints at exceptional use, but lacks concrete guidance.

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

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

With no annotations, the description carries the transparency burden. The included return schema reveals that the tool reports online/installed status and a capabilities list, but it does not explicitly state whether the call is read-only, can fail, or triggers reconnection. This is partial transparency—adequate for a simple ping but not a full behavioral contract.

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

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

The description is two compact parts: a one-line purpose and a minimal return-shape sketch. Every element earns its place, and the most important information 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 zero-argument health probe, the description covers the essential return fields and their booleans. It omits usage guidance and describes the capabilities array only via an ellipsis, but the low complexity means the agent has enough to call and interpret the result.

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

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

The tool takes zero parameters and the schema is empty, so there is nothing to document. Per the zero-parameter baseline, the description does not need to add parameter semantics.

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

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

The description opens with a specific imperative—'Report health of BOTH bridges'—and names the two bridge resources (midi_bridge, piano_roll), making the tool's scope clear. It differentiates itself from single-bridge or info-only siblings by emphasizing both bridges and listing the relevant health fields.

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

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

No guidance is given about when to use fl_ping over related siblings such as fl_bridge_info, fl_reconnect, or transport_status. The description only states what it does, not when/why to call it, and offers no exclusion criteria or alternative tool references.

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

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

No annotations provided, so description bears full burden of disclosure. It states 'drop and reopen' which implies interruption, but does not warn about potential side effects like lost data or ongoing session disruption. Adequate but could be more thorough.

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

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

Single sentence, no fluff. Front-loaded with verb and resource. Every word earns its place.

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

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

Simple tool with no params or output schema, but description lacks context about when to use (e.g., reconnection needed) and consequences. Minimal but not fully scaffolded 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?

No parameters, so schema coverage is 100%. Baseline of 4 applies as description need not add param info. Nothing to improve here.

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

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

Description clearly states the action (drop and reopen) and specific resource (TCP connection to MIDI bridge). Verb is precise and distinguishes from sibling tools like fl_bridge_info or fl_ping.

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

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

No guidance on when to use this tool vs alternatives. Does not specify recommended scenarios (e.g., after connection loss), nor when not to use (e.g., during active MIDI operations). Lacks explicit 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 provided. Description discloses it does not write, but doesn't specify other behaviors like whether it is read-only or computational.

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

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

Single sentence with no wasted words, front-loading the key action and constraint.

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

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

With no output schema, no annotations, and three undocumented parameters, the brief description leaves agents guessing about return format and parameter details.

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

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

Schema coverage is 0%, and description provides no explanation of root, quality, or inversion parameters, nor any examples or accepted values.

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

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

Clearly states it returns MIDI notes for a single chord and explicitly says 'no FL write', distinguishing it from writing tools like gen_emit_chord_progression.

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?

Implies usage for getting chord notes without writing, but no explicit guidance on when to use versus siblings like gen_scale_notes or gen_emit_arpeggio.

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, and the description does not disclose side effects (e.g., whether existing notes are cleared, if the action is reversible, or system requirements). The presence of a 'clear_first' parameter hints at destructive behavior, but this is not explained.

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

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

The single-sentence description is concise but lacks necessary detail for a tool with 10 parameters. It is front-loaded but insufficient.

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

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

Given the high parameter count and lack of annotations or output schema, the description is severely incomplete. It does not explain the chord format, velocity, duration, or pattern, leaving the agent unprepared to use the tool correctly.

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

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

With 0% schema description coverage, the description adds no meaning to any of the 10 parameters. It mentions 'N octaves' but does not link to the 'octaves' parameter or explain other key parameters like 'root', 'quality', 'direction', or 'pattern'.

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 emits an arpeggio across N octaves for a given chord, which distinguishes it from other emit tools like gen_emit_bassline or gen_emit_melody.

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 piano_roll_add_arpeggio or other gen_emit tools. The description gives no context for tool selection.

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

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

No annotations are provided, so the description carries full burden. It only says 'Create a bassline', implying mutation, but gives no details on side effects (e.g., whether it clears existing notes, modifies channel data, or requires specific setup). This is insufficient 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 a single sentence with no waste, but it lacks important information. It states the purpose concisely, which earns its place, but the scope is insufficient for a tool with 8 parameters.

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

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

With 8 parameters, no output schema, and no annotations, the description is far too sparse. An agent cannot determine how to use this tool correctly or what to expect without much inference. The description fails to provide adequate context.

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

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

The description does not add any meaning to the parameters beyond the schema. Schema description coverage is 0%, and the description only vaguely references 'various styles' and 'chord progression root', which hint at progression and pattern_style but do not clarify usage, defaults, 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 states the action ('Create a bassline') and the resource ('bassline that follows a chord progression root'), which is clear and specific. It distinguishes from sibling tools like gen_emit_melody or gen_emit_arpeggio by specifying bassline and referencing chord progression root.

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

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

No guidance on when to use this tool versus alternatives like gen_emit_arpeggio or gen_emit_melody. No context about prerequisites or exclusions 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 exist, so the description should reveal behaviors. It does not mention that clear_first defaults to true, implying destructive writes. It omits details on voicing, chord interpretation, or side effects like channel selection.

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, which is concise but insufficient. It could include a second sentence summarizing key parameters without becoming verbose. The structure is minimal.

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

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

With 8 parameters and no output schema, the description is severely incomplete. It does not explain how the progression is built, what musical rules apply, or what the AI can expect in return. The agent has no guidance on parameter effects or usage constraints.

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

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

Schema description coverage is 0%, and the description adds zero parameter intent. It does not explain what 'progression', 'root', 'scale', 'chord_length_bars', 'octave_shift', 'pattern', or 'clear_first' mean or how they affect output. The description is completely silent on parameters.

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

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

The description clearly states the action (write), the resource (chord progression), and the target (channel's piano roll). It distinguishes well from siblings like gen_emit_arpeggio or piano_roll_add_chord.

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

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

No guidance on when to use this tool versus alternatives such as piano_roll_add_chord, gen_chord_notes, or other gen_emit_* tools. The description assumes the agent will infer 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 must fully disclose behavior. It explains the MIDI mapping and loop structure, but omits side effects (e.g., whether it clears existing notes, appends, or overwrites) and does not mention what happens if no piano roll is open.

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

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

The description is two sentences long, front-loading the primary purpose. It is concise with no unnecessary words, though a bit more structure (e.g., listing parameters) would improve clarity.

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

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

Given three parameters, no output schema, and no annotations, the description is incomplete. It fails to explain two of the three parameters and does not clarify the tool's interaction with the open piano roll or potential destructive actions, making it hard to use correctly.

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

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

Schema description coverage is 0%, so the description must compensate. It only explains the 'repeats' parameter (2-bar loop, default 2). The 'style' enum and 'clear_first' boolean are not described, leaving their meaning ambiguous.

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 emits a Drum & Bass drum groove to the open piano roll using specific MIDI note numbers (36 kick, etc.). It distinguishes from sibling tools like gen_emit_bassline or gen_emit_melody by specifying the genre and resource.

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

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

The description explains that a 'repeat' is a 2-bar loop and default is 4 bars, but does not specify when to use this tool versus alternatives (e.g., gen_emit_drum_pattern_notes) or any prerequisites like an open piano roll being required.

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

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

No annotations provided. Description mentions it emits notes to piano roll but does not disclose if it clears existing notes (though parameter clear_first exists but is not described). Does not explain side effects or permissions. Adequate but not comprehensive.

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

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

Extremely concise: one short paragraph with purpose, usage, and parameter notes. No redundant information. Front-loaded with key action and prerequisite.

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

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

Missing descriptions for step_bars, repeats, and clear_first parameters. No output schema information. Does not compare to sibling tool gen_emit_drum_pattern_step_seq. Incomplete for a tool with 5 parameters and no annotations.

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

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

Schema coverage is 0%. Description explains only 2 of 5 parameters (midi_map with defaults, style reference). Parameters step_bars, repeats, and clear_first are not described, leaving significant gaps for agent 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?

States 'emit a drum groove to the currently-open piano roll as individual notes' with clear verb and resource. Distinguishes from sibling gen_emit_drum_pattern_step_seq by specifying 'when you don't have a MIDI bridge (no step sequencer access)'.

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?

Explicitly states when to use: 'Use this when you don't have a MIDI bridge (no step sequencer access).' Provides prerequisite: 'Open the drum channel's piano roll first.' No explicit when-not to use, but context is clear.

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

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

With no annotations, the description carries the full burden. It mentions the MIDI bridge requirement but fails to disclose important behaviors like whether the tool overwrites existing patterns, potential side effects, or error handling. The mutation action is implied but not elaborated.

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

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

The description is short (two sentences) and front-loaded with the main action. Every sentence adds value, though the structure could be improved by separating parameter documentation more clearly.

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 (4 params, nested object, no output schema, no annotations), the description is incomplete. It lacks behavioral details, parameter semantics for most params, and any return value information.

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 the 'channel_map' parameter (mapping drum names to channel indices), which adds meaning beyond the schema. However, the other three parameters (style, repeats, pattern) have no description coverage and are not explained, leaving a significant 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 verb 'Write' and resource 'drum groove into the step sequencer', and distinguishes from sibling tool 'gen_emit_drum_pattern_notes' by specifying the target (step sequencer vs. notes).

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

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

The description provides a prerequisite ('requires MIDI bridge') and hints at when to use ('when you DO have a MIDI bridge'), but does not explicitly state when not to use or mention alternatives (e.g., using gen_emit_drum_pattern_notes without a bridge).

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

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

No annotations provided. Description mentions 'random melody' and scale constraint but does not disclose that it overwrites existing notes (clear_first parameter) or any side effects. For a mutation tool, this is insufficient.

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

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

Single sentence, 16 words, concise but missing structure. Does not front-load critical info like 'channel' requirement. Every word is earned but not enough coverage.

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

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

With 9 parameters, no output schema, and no parameter descriptions, the description is severely incomplete. Does not explain behavior of 'pattern', 'seed', or 'clear_first'. No mention of return value.

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%. Description adds no parameter details beyond names and types. Does not explain 'seed', 'pattern', 'clear_first', or how 'root' and 'scale' combine to define the scale.

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 'generate', resource 'melody', and output 'write it to the piano roll'. It specifies 'stays within the given scale' which differentiates from other gen_emit tools like bassline or arpeggio.

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

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

No guidance on when to use this tool vs alternatives like gen_emit_bassline. No prerequisites mentioned (e.g., channel must exist). No exclusions or when-not-to-use.

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

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

No annotations are provided, and the description does not disclose any behavioral traits beyond the obvious. It simply states what it returns, with no mention of side effects, performance, 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?

A single concise sentence that directly communicates the tool's purpose with no unnecessary 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 trivial nature (no parameters, no output schema), the description is adequate. It could optionally list example chord qualities, but that is not necessary for completeness.

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

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

The tool has no parameters, and the input schema is empty with 100% coverage. The description adds no parameter semantics, but none are needed. Baseline for zero parameters is high.

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

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

The description clearly states the tool returns all supported chord quality names, with a specific verb and resource. It distinguishes from sibling tools like gen_chord_notes which generate chord patterns.

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. While context suggests it's for listing available chord qualities before using other generation tools, no explicit instructions are provided.

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

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

No annotations are provided, and the description does not disclose any behavioral traits (e.g., side effects, data source). For a simple read-only tool, minimal transparency is acceptable, but absence of any cues lowers the score.

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 single sentence is extremely concise, front-loaded with the action, and contains no superfluous 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 simplicity (no parameters, no output schema), the description is nearly complete. It lacks details on the return format (e.g., list of strings), but the function is straightforward and the context suffices 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?

With zero parameters and 100% schema coverage, the description adds value by specifying that the returned styles are for Drum & Bass, which informs the agent of the content type.

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

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

The description clearly states the verb 'Return' and the resource 'available Drum & Bass drum pattern styles', distinguishing it from sibling tools like gen_list_drum_patterns or gen_list_scales.

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 or any exclusions. The description merely states what it does, without context for usage.

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

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

No annotations provided; description states it returns built-in drum patterns but lacks details on return format or any side effects, leaving some ambiguity.

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

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

Single sentence with no wasted words; front-loaded and efficient.

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

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

For a simple list operation with no parameters and no output schema, the description adequately conveys the core behavior, though return type or format could be specified.

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?

Tool has zero parameters; description does not need to add parameter info, and baseline for 0 params is 4.

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

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

The description clearly states the verb 'return' and resource 'drum patterns', distinguishing it from sibling tools like gen_list_scales or gen_list_chord_qualities.

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

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

No explicit guidance on when to use or alternatives; usage is implied by the tool's name and 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?

No annotations are provided, so the description carries full burden. It only states it returns progressions but does not disclose read-only nature, output format, or any behavioral traits.

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 that conveys the essential information 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?

No output schema is provided, and the description does not explain the return format (e.g., list of strings, objects). For a simple list tool, this may be sufficient but could be clearer.

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

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

The tool has zero parameters, so schema coverage is 100%. According to guidelines, baseline is 4. The description adds no parameter info, but none is needed.

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

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

The description clearly states the action ('Return') and the resource ('all built-in Roman-numeral progressions'), distinguishing it from sibling tools like gen_list_chord_qualities or gen_list_scales.

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

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

No guidance on when to use this tool versus alternatives such as gen_list_chord_qualities or gen_list_scales; no context on prerequisites or exclusions.

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

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

No annotations provided, so the description carries the full burden. It only states the basic function without any behavioral context (e.g., whether the list is static/dynamic, performance implications, or that it's a read-only 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?

Single sentence, perfectly concise 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?

For a parameterless list tool, the description is mostly complete. However, it does not specify the output format (e.g., array of strings), but given the tool's simplicity, this is a minor gap.

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

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

No parameters exist, and schema coverage is 100%. Baseline is 4 per guidelines. The description adds no extra parameter meaning but is not needed.

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

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

The description uses a specific verb 'Return' and resource 'all supported scale names', clearly distinguishing it from sibling tools like gen_list_chord_qualities or gen_list_drum_patterns.

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

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

No guidance on when to use this tool vs alternatives. For example, it could mention that the returned names can be used with gen_scale_notes or other scale-related tools.

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

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

No annotations and description does not disclose any behavioral traits such as side effects, performance, or limitations.

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?

Overly terse. While it is concise, it lacks necessary detail and structure, failing to add value beyond the name.

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

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

No output schema and no parameter documentation. Does not describe return format or what 'MIDI notes' entails (list, range, etc.).

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

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

Schema coverage is 0%, and description does not explain any parameters. Only names are given; no additional meaning.

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

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

Clearly states it returns MIDI notes for a scale run. Distinguishes from sibling gen_chord_notes and gen_list_scales, but 'scale run' could be slightly ambiguous.

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

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

No guidance on when to use this tool vs alternatives. No prerequisites or context provided.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only says 'List of all mixer tracks.' It does not clarify the contradiction between 'all' and the include_empty parameter defaulting to false, nor does it disclose what the returned list contains (e.g., indices, names, or track data).

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

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

The description is six words, free of filler, and places the scope upfront. It is as concise as a simple one-line tool description should be, despite lacking detail that other dimensions penalize.

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

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

With no output schema, no annotations, and a parameter whose semantics are undocumented, the one-line description is insufficient for correct usage. An agent cannot determine what the returned list represents or how include_empty changes the result.

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

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

Schema description coverage is 0%, and the description adds nothing about the include_empty parameter. The parameter name provides a basic hint that empty tracks can be included, but 'empty' is undefined and the effect of the default false is not explained, so the agent must guess.

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 identifies the resource ('mixer tracks') and scope ('all'), which is sufficient to distinguish it from sibling tools like mixer_track_info and mixer_all_peaks. It lacks an explicit verb such as 'Lists' or 'Returns', so it is clear but not maximally explicit.

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

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

There is no guidance on when to use this tool versus the many sibling mixer/list tools, nor any mention of when include_empty should be true or false. The description provides no context that would help an agent choose between this and mixer_track_info, mixer_all_peaks, or playlist_all_tracks.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It implies a state change but does not explain whether the tool toggles arming, what `armed: null` means, whether repeated calls have side effects, or whether recording must be stopped. This is a significant transparency gap for a state-mutating 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 short and front-loaded with no wasted words. However, it is under-specification rather than purposeful conciseness, omitting crucial operational details that are necessary for correct invocation.

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

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

The tool has only two parameters, but the description does not cover their meaning or default behavior, there is no output schema, and there are no annotations. An agent cannot determine how to specify a track index or what the armed parameter does, so the description is incomplete for safe and correct use.

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

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

Schema description coverage is 0%, and the description does not explain either parameter. `track` is just an integer with no indexing semantics, and `armed` is a boolean/null with no explanation of how it relates to arming. The description adds no value beyond the bare parameter names.

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

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

The description 'Arm track for recording' clearly states the verb (arm), resource (track), and purpose (recording). This is specific and intelligible, though it does not explicitly distinguish itself from sibling tools like transport_record, so it misses the top score for differentiation.

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

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

No guidance is provided on when to use this tool versus alternatives, nor on how the `armed` parameter should be set (true, false, or null). The description offers no context for selection or invocation, leaving the agent without 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 disclosure burden. It adds useful semantic detail by specifying that the count includes the master track at index 0, but it does not mention side effects, return format, or the lack of modification behavior. This is acceptable for a simple read-only count but not rich.

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

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

A single sentence communicates the entire purpose and the indexing caveat with no redundancy. Every word earns its place.

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

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

For a parameterless count with no output schema, the description fully specifies what is counted and how the count is indexed. An agent can invoke it correctly without needing further information.

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

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

The tool has zero parameters, so the schema is trivially complete and the description has no parameter burden. The baseline of 4 applies.

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

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

The description clearly states the tool returns the number of mixer tracks and clarifies an important scope detail ('incl master @ index 0'). It is distinguishable from mixer_track_info and mixer_all_tracks as an aggregate count, though it does not use an explicit verb or name alternatives.

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

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

No guidance is given on when to use this tool versus alternatives such as mixer_track_info or mixer_all_tracks. The description provides no context for selection, leaving the agent to infer from the 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 carries the behavioral disclosure burden. It clearly signals a read-only listing operation and adds the sentinel convention (-1 for empty slots) and fixed slot count, which are useful beyond the schema. It does not mention invalid-track behavior or side-effect guarantees, but 'List' strongly implies non-mutating 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 a single, front-loaded sentence with no wasted words. It conveys the action, target resource, and a key output convention in under fifteen words, which is ideal for agent consumption.

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

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

For a simple one-parameter read-only tool with no output schema, the description is largely complete: it specifies what is returned and how empty slots are represented. It could still include valid track bounds or an example, but given the low complexity, the missing details are relatively minor.

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 required integer named 'track' with 0% description coverage. The tool description clarifies that the parameter refers to a mixer track, adding domain meaning beyond the schema's generic 'Track' title. However, it does not state the track indexing convention, valid range, or whether the track argument is zero-based or one-based, leaving a notable 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 names a specific verb ('List'), a precise resource ('plugin IDs in the 10 FX slots of a mixer track'), and an important output detail ('-1 = empty'). This clearly distinguishes it from generic mixer or plugin listing tools and tells an agent exactly what the tool returns.

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

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

The description gives no guidance about when to use this tool versus related tools such as plugin_list_mixer_track or mixer_track_info. There are no stated prerequisites, exclusions, or alternative selection conditions, so the agent must infer usage context from the tool name and description alone.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It conveys that this is a read-only operation via the verb 'Return,' which is the key behavioral trait. However, it doesn't disclose error behavior for invalid track indices, whether frequencies are in Hz or gains in dB, or any edge-case handling.

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

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

One tightly worded sentence with zero filler; the core action ('Return') and the payload ('3-band mixer EQ (gains + frequencies)') are front-loaded. Every word earns its place.

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

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

For a simple one-parameter getter with no output schema and no annotations, the description covers the essence of what the tool does and roughly what it returns. But it leaves gaps: no parameter semantics, no return format or unit details, and no failure behavior. Additional detail on units or the return structure would make it fully complete.

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

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

Schema description coverage is 0% and the description makes no mention of the 'track' parameter. The name 'track' and the phrase 'mixer EQ' imply it references a mixer track, but indexing, bounds, and whether it refers to channel or mixer track numbers are left ambiguous. The description fails to compensate for the undocumented 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 states a specific verb and resource: 'Return 3-band mixer EQ (gains + frequencies).' It clearly identifies what the tool does and what data it produces. It doesn't explicitly distinguish itself from siblings like mixer_set_eq_band or mixer_track_info, but the get/set pairing and the EQ focus make differentiation mostly self-evident.

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 never mentions mixer_set_eq_band as the write counterpart, nor mixer_track_info which may also surface EQ data, and provides no exclusions or context for selecting this tool.

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

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only states the mode values without defining what 'replace' or 'add' actually do to existing routings. It does not mention side effects, whether previous links are removed, or how the operation affects the mixer 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 compact and front-loaded, stating the key action in the first sentence and mode options in the second. It contains no filler, though the terse 'mode=...' notation is slightly cryptic.

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 mutating tool with three parameters, no annotations, and no output schema, the description provides only the bare minimum. An agent can make a call, but cannot be confident about the exact behavior of the two modes or the implications for existing mixer routing.

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 partially does by clarifying that 'channel' is the channel being linked and 'track' is the mixer track, and by giving valid mode values. However, it does not explain the meaning of 'replace' versus 'add' in terms of the underlying state.

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 names a specific action ('Link a channel to a mixer track') and the resource relationship, so the basic purpose is clear. However, it does not distinguish this from closely related sibling tools such as channel_route_to_mixer or mixer_route, which likely perform similar linking/routing operations.

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

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

No guidance is given about when to use this tool versus alternative routing or mixer tools. The mode values 'replace'|'add' are mentioned, but there is no explanation of which mode to choose in a given situation or what happens if channel routing already exists.

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 behavioral burden. It usefully discloses that passing None for 'muted' toggles the mute state, but it does not mention what happens for invalid tracks, whether the change persists, or any 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 extremely short and front-loads the core operation, with the toggle behavior added parenthetically. No filler words, though the repeated 'Mute / unmute / toggle' phrasing is slightly redundant with the tool name.

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 mutation tool, the description conveys the operation but is missing minimal surrounding context such as how track is identified or what distinguishes this from channel_mute. There is no output schema, so mention of return behavior would also have helped.

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 explains the key ambiguity — None toggles, booleans set mute/unmute — but it does not clarify track indexing or any constraints on 'track' beyond the schema's integer type.

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

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

The description states a specific operation — mute/unmute/toggle — on a mixer track, made clear by the tool name 'mixer_mute'. It does not explicitly distinguish from the sibling 'channel_mute', so an agent might need to look elsewhere to choose correctly.

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

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

There is no guidance on when to use this tool versus alternatives such as channel_mute or mixer_solo. No context, prerequisites, or exclusions are provided.

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

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

With no annotations, the description carries the full behavioral burden, but it merely restates the boolean operation ('enable or disable') already visible in the schema. It does not disclose side effects, whether an existing route is required, or how disabling affects the send level.

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

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

One short, front-loaded sentence with no wasted words. Every word earns its place, even though more behavioral detail is needed elsewhere.

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 three-parameter tool with no annotations and no output schema, the description leaves too much unsaid: track numbering, direction, default enabled behavior, and effect on an existing send. An agent would likely need to guess or call another tool to interpret the parameters correctly.

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

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

Schema description coverage is 0%, and the description only hints that two tracks are involved without explaining the direction or meaning of src_track vs dst_track. The enabled parameter is also not described beyond the verb, so the description fails to compensate for the schema 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 states a specific action ('Enable or disable') on a specific resource ('mixer route/send between two tracks'), which clearly conveys the core function. It is distinct from sibling send-level tools like mixer_set_send_level, though it never names an alternative.

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

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

No guidance is given about when to choose this over mixer_set_send_level or channel_route_to_mixer, or how enabling a route relates to setting levels. The only implied context is the verb itself, which is not enough to route an agent to the correct tool.

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 says 'Focus / select a mixer track' and does not mention side effects, whether the selection persists, what happens on invalid track values, or whether the operation is read-only versus UI-mutating.

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

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

The description is a single, efficient sentence with no filler or redundancy. It gets directly to the point and is fully 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 one-parameter selection tool, the description is minimally viable: it names the action and the target resource. However, the complete absence of parameter semantics and behavioral detail means an agent may still guess about indexing and 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 schema has 0% description coverage, and the description adds only minimal context by mentioning 'a mixer track.' It does not clarify whether the integer track parameter is 0-based or 1-based, what valid ranges are, or how it relates to mixer_track_info indexing.

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

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

The description states a clear action ('Focus / select') and a specific resource ('a mixer track'), which makes the tool's purpose immediately identifiable. It also distinguishes it from related siblings like channel_select because it explicitly targets the mixer track rather than a channel.

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 mixer_track_info or ui_selected_channel. There are no stated prerequisites, exclusions, or scenarios where a sibling would be more appropriate.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the color formats ('#RRGGBB' or 'rgb(r,g,b)'), but does not mention validation behavior, error conditions, whether the track must exist, effects on undo, or what the tool returns after setting.

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

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

A single, front-loaded sentence with zero waste. The verb, resource, and valid color formats are all delivered immediately, and every part of the sentence earns its place.

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

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

The tool is a simple setter with two required parameters and no annotations or output schema, but the description is not complete enough for reliable invocation. It covers the color format yet omits any guidance on the 'track' parameter, leaving a key input unconstrained and potentially ambiguous.

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

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

Schema description coverage is 0%, so the description must compensate for both parameters. It meaningfully documents the 'color' parameter's accepted formats, but says nothing about the 'track' parameter—no indexing convention, bounds, or how to reference a mixer track.

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

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

Description uses a specific verb ('Set') and a specific resource ('mixer track color'), and reinforces the color value formats accepted. This distinguishes it clearly from sibling color-setters like pattern_set_color, channel_set_color, and playlist_set_track_color.

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

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

The description clearly implies when to use it: when changing a mixer track's color, as opposed to other color-related setters. It does not explicitly name alternatives or state exclusions, but the resource scope ('mixer track') provides clear context without leaving the agent to guess.

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

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

Annotations are absent, so the description carries the behavioral burden. It does disclose allowed ranges and normalization for gain and frequency, which is useful, but it does not explain what null gain/frequency means, whether omitted values leave the band unchanged, or what happens to the existing EQ state after the call.

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, tightly worded sentence conveys the action and all critical value constraints with no filler. The most important scoping information, 'set one band of the mixer EQ,' 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 setter with no output schema, the description is mostly adequate, but it leaves two operational gaps: the meaning/semantics of null-valued gain and frequency is unstated, and the 'track' parameter is not explained. These gaps matter more because no annotations or schema descriptions exist to fill them.

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

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

Schema description coverage is 0%, so the description must add meaning itself. It does so effectively by mapping band=0|1|2 to low/mid/high and by giving explicit numeric ranges for gain and frequency. However, the required 'track' parameter is left undocumented in both the schema and description.

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

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

The description opens with 'Set one band of the mixer EQ,' a specific verb plus a clearly bounded resource. It also disambiguates from the sibling mixer_get_eq by emphasizing the write operation and from other mixer_set_* tools by targeting a single EQ band.

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