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?

With no annotations, the description carries the full behavioral burden. It does disclose useful return semantics: start/end ticks and the -1 means no selection. However, it does not explicitly state that the tool has no side effects, whether both start and end are -1 when no selection exists, or what happens if called with no current 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?

A single sentence with the core meaning front-loaded and parenthetical detail kept minimal. Every word contributes 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?

For a zero-parameter, no-output-schema getter, the description covers the essential semantic: current selection bounds in ticks and the no-selection sentinel. It could be slightly more explicit about the return format or the end-tick sentinel behavior, but it is otherwise adequately 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 input schema has zero parameters, so there is nothing to document. The description instead adds value by defining the meaning of the returned values (start/end ticks and the -1 sentinel), which is the relevant semantic content for this tool.

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 (current timeline selection) and specifies its meaning via start/end ticks plus the -1 sentinel, so an agent can understand this is a state getter. It lacks an explicit verb like 'get' or 'returns', and it does not differentiate it from sibling arrangement_current or arrangement_select, but the phrase is specific enough to infer the purpose.

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

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

There is no guidance on when to use this tool versus alternatives such as arrangement_current, arrangement_list, or arrangement_select. The read-only nature is implied but no selection context, exclusions, or alternative references 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 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?

No annotations are present, so the description carries the transparency burden. It conveys a read-like operation by describing output fields, but it never explicitly states that the tool is read-only, has no side effects, or what happens when no browser node is focused.

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, tightly worded sentence with no filler. It front-loads the key output information immediately and every word contributes to the meaning.

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, the description is largely complete: it names the two output fields and the target. It falls short of perfect only by not covering edge cases such as an empty browser selection or the exact format of the returned caption/file type.

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

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

The input schema has zero parameters and schema description coverage is 100%, so no parameter explanation is required. The description appropriately focuses on output semantics instead.

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

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

The description clearly identifies what is returned—caption and file type—and the target resource, the currently focused FL browser node. It distinguishes this from sibling browser tools by highlighting 'currently focused,' though it uses a noun phrase rather than an explicit action verb like 'returns' or 'gets.'

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: call this when you need info about the currently focused browser node. However, it does not explicitly name alternatives such as browser_tabs, browser_preview, or browser_select, nor does it state when not to use it.

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

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

With no annotations, the description carries the disclosure burden and covers the key behaviors: directional movement, left/right folder collapse/expand, and the returned focused node. It does not mention whether steps/shift extend the range or whether collapse/expand has any lasting effect, but the core traversal behavior and return value are 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?

One compact sentence that front-loads the action, then adds the collapse/expand clarification and the return-value benefit. Every clause earns its place and no repetition of schema defaults appears.

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 traversal tool with no output schema, the description supplies the return contract and the special left/right behavior. It is slightly incomplete because shift and steps semantics are not explained anywhere, but an agent can still safely invoke the common navigation path with defaults.

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

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

The schema provides no descriptions, so the description must compensate. It explains the direction parameter's allowed values and the left/right behavior, and it describes the return value, but steps and shift are left to inference from their names/defaults. This is useful partial compensation, not complete coverage.

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

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

The description names a specific action, 'Move the browser selection', gives the supported directions, and notes the distinct left/right collapse-expand behavior. It clearly identifies the tool as relative tree navigation rather than absolute selection, separating it from browser_select and browser_focused without needing to open their schemas.

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

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

It explains the intended use case: walking the browser tree without screenshots because the newly focused node is returned. It does not explicitly state when to prefer browser_select or other browser tools, so it stops short of full when/when-not guidance.

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

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

With no annotations, the description carries the full burden, and it does disclose the main behavior: it auditions by playing through FL's output and depends on fl-listen/metering to be heard. It doesn't state what happens if no node is focused or whether the preview is non-destructive, but the word 'preview' and 'audition' imply a playback action.

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

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

One sentence with an em-dash and a parenthetical action; every clause earns its place. The main action is front-loaded before the auxiliary 'how to hear it' instruction.

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 preview action with no output schema, the description is nearly complete: it states what is played, where it is played, and what to combine for audio output. It could add a prerequisite that a browser node must already be focused (and how to set one), but sibling tools make this inferable.

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 schema cannot add meaning; the description compensates by naming the implicit context 'focused browser node' and the output path through FL's output. This is the expected baseline for a parameterless tool.

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: 'Audition the focused browser node' and immediately clarifies the action: 'plays the sample/preset preview through FL's output.' This clearly distinguishes it from sibling browser tools like browser_select, browser_navigate, and browser_focused.

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

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

It gives clear procedural context by telling the agent to 'combine with fl-listen/metering to hear it,' which explains how to use the result. It doesn't state explicit exclusions or alternatives, but the zero-parameter action is unique enough that the implied usage is sufficient.

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 discloses the core behavior and side effect—loading the focused sample/preset—but does not mention what happens if no node is focused, whether the load can overwrite existing project state, or whether it 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 efficient sentence with a parenthetical analogy. Every word adds meaning, and the core 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 zero-parameter trigger, the description is nearly complete: it names the action, the target, and the effect. It could be slightly more explicit about preconditions or failure behavior, but no essential calling information is missing.

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

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

The tool has zero parameters and the schema covers 100% of them by being empty, so the description is not required to explain parameter details. The term 'focused browser node' refers to an implicit UI state rather than a parameter, which is acceptable.

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: 'Activate the focused browser node.' It also adds the double-click analogy and the outcome 'loads the sample/preset into the project,' which clearly differentiates this from browser_navigate, browser_focused, and browser_preview.

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 'like double-click: loads the sample/preset into the project' phrasing gives clear contextual guidance on when this action is appropriate. It does not explicitly name sibling alternatives or state when not to use it, but the intended use is easy to infer.

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 does add a useful behavior beyond the schema: negative steps move backwards. However, it does not explain boundary behavior (e.g., wrap-around at the first/last tab), what state changes occur, or whether the command activates or merely cycles focus.

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 states the operation, the resource, and the critical parameter nuance in as few words as possible.

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 very simple one-parameter tool, the description is mostly adequate, but it still leaves gaps: no mention of what 'browser tabs' refers to in this environment, no boundary behavior, and no relationship to the browser_navigate/browser_select family. It is minimally viable but not fully self-contained.

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

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

Schema coverage is 0%, so the description must compensate for the otherwise bare 'steps' integer. It provides the key semantic that negative values reverse direction, and the word 'steps' implies the unit is tab positions. This is meaningful added meaning for a single-parameter tool.

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 ('Cycle browser tabs') and adds directionality, making the operation unambiguous. It also distinguishes this tool from sibling browser tools like browser_navigate or browser_select, which operate on navigation/selection rather than cycling tabs.

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 the closely related browser_focused, browser_navigate, or browser_select tools. An agent is not told whether this is the right choice for switching between open browser tabs or how it fits into a broader browser workflow.

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?

No annotations are present, so the description carries the behavioral burden. It conveys that the tool returns live activity and that omitting index returns all channels, but it does not explicitly state that it is non-mutating, describe the return units/scale, or mention invalid-index 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?

Two short sentences with no filler. The core behavior is front-loaded, and the playback usage note adds real value without bloating the definition.

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, this is mostly sufficient: it covers purpose, scope, and a usage context. However, with no output schema, the exact return shape and unit of the activity/VU value are left implicit, making it minimum viable rather than 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 partially compensates by explaining that an omitted index means all channels. It does not clarify whether index is 0-based or what valid channel indices are, but with only one optional parameter this is minimally workable.

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 a specific resource (channel activity/VU level) and the scope behavior when no index is given. It is clearly distinct from channel config/setter tools, though it does not explicitly contrast with mixer_get_peaks or playlist_track_activity.

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: 'during playback to confirm a channel is actually sounding.' This is clear context, but it does not mention alternatives or when not to use the tool, so it stops short of a 5.

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?

With no annotations, the description carries the full burden of behavioral disclosure. It states it is a read operation and that it 'Returns one row per active step,' which gives some return-shape context. However, it does not disclose how steps filtering, the active_only flag, or the default params affect behavior, nor what happens when no steps are active.

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 purpose, and every sentence carries information: the resource being read, the allowed parameter values with defaults, and the return shape. There is no fluff or repetition.

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

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

For a tool with 4 parameters, no output schema, and no annotations, the description is incomplete. It omits the meaning of 'index', 'steps', and 'active_only', and only vaguely describes the return as 'one row per active step.' An agent would need additional inference or external knowledge to call this 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 all parameters. It only explains the 'params' parameter by enumerating valid values and defaults; 'index', 'steps', and 'active_only' are left undocumented in both schema and description. This leaves the agent guessing about three of four 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 opens with a specific verb-resource pair: 'Read per-step graph-editor values for a channel in the current pattern.' This clearly distinguishes it from sibling setters like channel_set_step_params and from other channel getters like channel_get_step_sequence, which reads a different kind of data.

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

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

Usage is implied by the verb 'Read' and by the sibling name channel_set_step_params, but the description never explicitly states when to choose this tool over alternatives or when not to use it. There is no mention of exclusions, preconditions, or comparison to related getters, so the agent has to infer the intended 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?

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 provided, the description carries the full behavioral burden and does so reasonably: it discloses partial updates ('Only provided keys are written'), defaulting behavior ('pattern defaults to the current pattern'), and value ranges (velocity 0..127, pan 0..127 with 64=center). It does not cover error behavior or return values, but the mutation semantics are clear for a write 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 compact and front-loaded: purpose first, then data format, then key behavioral notes. The '...'/'etc.' placeholders are imprecise but do not bloat the description, and every sentence earns its place.

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

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

For a 3-parameter tool with no annotations, no output schema, and an open-ended steps object, the description should fully specify accepted keys, units, and every parameter. It handles steps and pattern well, but omits index and leaves the key set open-ended, so an agent could supply unsupported keys. It is usable but not fully complete.

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

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

Schema description coverage is 0%, so the inline format is essential; the description documents the structure of steps and clarifies the pattern default. However, it never explains the 'index' parameter at all, and 'pitch' is left as '...' so agents cannot know its range or format. This is partial but not full compensation for an empty 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 uses a specific verb ('Write') and a concrete resource ('per-step graph-editor values'), then enumerates supported keys (velocity/pan/shift/pitch). It distinguishes itself from on/off grid-bit tools by saying 'adds groove and dynamics beyond on/off grid bits,' which differentiates it from sibling tools like channel_set_grid_bit or channel_set_step_sequence.

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 a clear use case: per-step expressive parameters rather than binary grid bits. However, it never explicitly names alternatives or states when not to use this tool. It does provide a useful usage default ('pattern defaults to the current pattern') but lacks explicit exclusions or alternative routing.

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?

With no annotations provided, the description must carry the full burden, and it does disclose a useful behavioral trait: the tool fails if the bridge is offline. However, it does not clarify what 'detailed info' includes, whether it is purely read-only, or how failures are surfaced.

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, tight sentence with zero wasted words. It front-loads the core purpose ('Detailed info about the main bridge') and adds the critical failure condition in a brief parenthetical.

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

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

For a zero-parameter tool this is mostly adequate, but the lack of an output schema means the vague phrase 'detailed info' leaves the return shape undefined. The offline behavior is helpful context, but an agent cannot fully anticipate what fields or structure the response will contain.

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 input schema is empty, so parameter explanation is unnecessary. The baseline of 4 applies since the description needs to add no parameter 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?

The description clearly identifies a specific resource ('the main bridge') and states that it returns detailed info, which is enough to recognize it as a read/status tool. It does not explicitly contrast it with fl_ping or other diagnostic siblings, so it stops short of full 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 explicit guidance about when to use this tool versus alternatives like fl_ping or fl_reconnect. The offline-failure note subtly implies a diagnostic use case, but the description never states when this tool should be preferred or excluded.

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 behavioral disclosure burden. It says the tool is an 'escape hatch' and takes 'arbitrary params,' but it does not disclose whether params are validated, whether actions can have side effects, what errors arise for invalid actions, or whether responses are structured. The raw nature is hinted at but not substantively 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 entire description is one short, front-loaded sentence with the 'escape hatch' label first. It communicates the core purpose without filler, which is ideal for a low-level raw invocation tool.

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

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

Given no annotations, no output schema, and a raw invocation design, the description leaves out important operational context: how valid actions are discovered, error behavior, safety expectations, and what the response contains. The generic escape-hatch framing may be intentional, but it is incomplete for an agent that must reliably select and invoke this tool.

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

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

Schema coverage is 0%, so the description must compensate. It mentions 'arbitrary params' and 'any action,' which loosely maps to the action and params fields, but it does not explain how they relate, what format params should take, or how action names correspond to bridge endpoints. The description adds minimal semantic value beyond the schema.

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

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

The description clearly states the tool's role: 'invoke any action the main bridge accepts with arbitrary params.' It positions itself as an 'escape hatch,' which distinguishes it from the many specialized sibling tools. It is slightly vague in not defining what 'main bridge' means or what kind of actions are accepted, but it is not tautological.

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?

'Escape hatch' implies use when no dedicated tool exists for a given raw bridge action, but the description does not explicitly state when to use it versus the sibling tools, nor does it warn against using it when a domain-specific tool exists. The usage context is implied rather than directly explained.

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?

With no annotations, the description carries the full behavioral burden, and it does well by disclosing that file-bus has no persistent connection and that the operation clears client-side state and re-pings. It does not detail what state is cleared or potential side effects, but the core non-obvious behavior is 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 entire description is a single front-loaded sentence: the main action comes first, followed by a parenthetical that adds necessary context. No words are wasted.

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 utility with no output schema, the description is largely complete: it states the action, the underlying architecture ('no persistent connection'), and the concrete effect. The only minor gap is the absence of any hint about return/status behavior.

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

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

The tool has zero parameters and an empty schema with 100% schema coverage, so there is nothing for the description to add. The baseline for a parameterless tool is 4, and the description introduces no contradictions.

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 ('Reset the bridge client') and explains the operation as clearing client-side state and re-pinging. It is clear, but it does not explicitly contrast this with fl_ping or fl_bridge_info, so sibling differentiation is only implicit.

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

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

The description implies when the tool is useful (when client-side state needs clearing or a fresh ping is desired), but it never states explicit conditions or rules out alternatives like fl_ping. No when/when-not guidance is provided.

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

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

With no annotations, the description carries the behavioral burden. It explains what the tool does, that it returns a dict, the meaning of status strings ('OK' vs 'BLOCKED: <error>'), and provides expected outcomes. It does not explicitly state side-effect safety, but the audit-hook framing strongly implies operations are blocked rather than destructive.

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

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

The description is well-structured with a clear opening purpose, brief context, return-format clarification, and expected values. There is slight redundancy between the first sentence and the 'This tool reports...' sentence, but overall every section adds useful information.

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

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

For a tool with no parameters and no output schema, the description fully compensates: it explains the return type, status string meanings, and expected macOS behavior. An agent knows exactly what the tool accomplishes and what to expect from 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 has zero parameters, so the baseline is 4. The description correctly implies no inputs are needed and focuses entirely on the output, which is appropriate for a no-argument diagnostic.

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: 'Test which operations are blocked by FL Studio's macOS audit hook.' It clearly distinguishes this diagnostic tool from the many transport/channel/pattern siblings, none of which probe audit-hook restrictions.

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

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

It clearly implies when to use: when you need to know which operations are blocked/allowed in FL Studio's restricted macOS sub-interpreter. It does not explicitly name alternatives or exclusions, but the context is unambiguous and the expected results are spelled out.

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 alone must convey behavioral traits such as read-only status, whether it is a one-shot query or requires polling, and what the output represents. The description only says 'Performance-mode state' and 'per-block clip status', without disclosing side effects, freshness semantics, or blocking behavior. This is a meaningful gap for a status tool an agent may need to poll or interpret over time.

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 phrase with no filler or redundant restatement of the tool name, and it front-loads the core concept of 'Performance-mode state'. The structure is efficient, though the brevity comes at the cost of needed clarity. For a simple two-parameter status tool, this length is reasonable, but the wording is too terse to be fully effective.

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

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

With no output schema, no annotations, and only two optional parameters, the description needed to explain the return shape and behavior to be self-sufficient. It fails to state what the tool returns for the whole performance mode versus a specific track, how 'blocks' changes the payload, or whether the result is a snapshot or live-following state. The description leaves essential operational context absent.

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

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

Schema description coverage is 0%, so the description carries full responsibility for explaining the two parameters. It vaguely connects 'track' to per-block clip status, but it does not explain what a null track means, what 'blocks' controls, or how the integer values map to actual state. The defaults (null and 16) are defined only in the schema, not in the description, leaving the agent to guess the 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 phrase 'Performance-mode state' identifies a domain (live/performance mode) and the mention of 'per-block clip status' points to a query-style tool, distinguishing it from siblings like transport_status or piano_roll_status. However, it is a noun fragment with no explicit verb such as 'retrieve' or 'get', and 'performance-mode state' is not clearly defined. The description gives only a rough idea rather than a precise, unambiguous statement of 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?

There is no guidance about when to use this tool versus alternatives like transport_status, arrangement_play_time, or piano_roll_status. The clause 'with a track, per-block clip status for it' implies an optional track-scoped usage, but it never states when global status is appropriate, when to supply a track, or when another status tool should be chosen instead. No exclusions or comparison conditions 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 provided, the description carries the full burden. It discloses a meaningful side effect: 'Default flags mute the previous clip on the track.' It does not explain flag variations or reversibility, but the primary mutation is 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?

Two sentences with no filler: the action is front-loaded, the prerequisite is stated briefly, and the default side effect is provided. Every clause 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 description covers the essential prerequisite and default behavior, but with no annotations, no output schema, and 0% parameter documentation, the missing semantics around flags and the exact roles of track/block leave noticeable gaps for an agent deciding how to call this 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 adds partial meaning by clarifying that 'track' is where the previous clip is muted and that 'flags' have a default mute behavior, but it does not explain what integer values represent or how 'block' maps to a clip.

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

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

The description clearly identifies a specific action ('Trigger') and resource ('performance-mode live clip'), and adds a key scoping condition. It does not explicitly contrast with related sibling tools, but the operation is distinct enough among the sibling list.

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 states an explicit prerequisite: 'playlist must be in performance mode.' This gives the agent a concrete condition for when the tool is valid, though it does not mention alternatives or when not to use it.

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

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

With no annotations, the description carries the disclosure burden, and it does disclose important behaviors: the snapshot is live, the master track is included at index 0, and silent tracks are omitted unless include_silent is set. It stops short of specifying the exact units or return structure, but the behavior described is meaningful and non-obvious.

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

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

Two compact sentences that front-load the core function and then add polling and filtering details. No filler or redundant restating 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 simple read-only snapshot with one optional boolean, the description covers purpose, usage pattern, and filtering behavior. It lacks an explicit return-value format or unit description, but the simplicity of the tool and the absence of required parameters make this 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?

Schema coverage is 0%, so the description must explain include_silent, and it does: silent tracks are omitted unless include_silent is set. This makes the parameter's effect actionable and clear, even without additional schema 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 clearly identifies the tool's function: it returns a live peak snapshot for every mixer track, including the master track at index 0. This distinguishes it from siblings like mixer_get_peaks, which likely targets a single track, and mixer_all_tracks, which returns broader track data. The gain-staging and clipping-check context further clarifies intent.

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 concrete usage guidance: poll several times during playback to get a representative picture, which is valuable for a dynamic measurement tool. It also mentions the include_silent behavior, giving context for when to set that parameter. It does not explicitly name alternative tools to avoid, but the scope and polling guidance are sufficient.

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 disclosure burden. It clearly states the output range, clipping indicator, live/playing dependency, and that master is track 0. It stops short of describing exact return field names or behavior when the transport is stopped.

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

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

Two tightly packed lines with no filler. The core result is front-loaded, followed by the single essential usage caveat.

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 live read with no output schema, this is complete: the agent knows what to pass, what the values mean, when to call it, and how to interpret clipping. Nothing critical is missing.

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

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

Schema coverage is 0%, but the description compensates by defining the track parameter as a mixer track and specifying that 0 is the master. It does not state the upper bound of valid track indexes, though that is discoverable through mixer_count.

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 resource ('live peak levels ... for one mixer track'), the left/right channel breakdown, and the value domain (~0..1, >1 clipping). It distinguishes this from the sibling mixer_all_peaks by emphasizing 'one mixer 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?

It gives an explicit precondition ('start the transport first') and the intended polling context ('poll during playback'). It doesn't explicitly name alternatives, but the 'one mixer track' scope routes away from mixer_all_peaks.

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.

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 mixer tools, such as mixer_get_eq, mixer_set_volume, or mixer_set_pan. The usage context is only implied by the name and brief description rather than explicitly stated.

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

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

With no annotations, the description bears the full burden of disclosing behavior, but it only restates the basic rename operation. It does not mention side effects, whether the rename affects indexing, authorization needs, or any constraints, leaving significant behavioral ambiguity for a 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 a single, front-loaded sentence with no filler or redundancy. It is appropriately brief for a simple operation, though the brevity contributes to missing parameter and usage detail.

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

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

For a mutating tool with no annotations and no output schema, the description is too sparse. It lacks enough context about parameter semantics and side effects to be called confidently by an agent, especially when compared to the richer sibling tools in the same domain.

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 clarifies that 'name' is the new name and 'track' is the target track, but with 0% schema description coverage it does not explain track addressing (e.g., zero-based vs one-based), name constraints, or other required semantics. The compensation is minimal.

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

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

The description states a specific verb ('Rename') and resource ('mixer track'), making the operation unambiguous. This also distinguishes it from sibling tools like channel_set_name or playlist_set_track_name, which target different resources.

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

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

No guidance is given about when to use this tool instead of related naming tools, and no exclusions or alternative routing are mentioned. The context is left entirely to the agent's 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, the description carries the full burden of behavioral disclosure. It does provide the valid input range (-1.0..1.0), which is useful, but it does not mention whether the pan is absolute or relative, how invalid track indices are handled, or any side effects. This is adequate but minimal for a mutating operation.

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

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

The description is a single compact sentence with no filler, and the key information ('Set mixer track pan') is front-loaded before the parameter range. Every word contributes to understanding the tool's purpose.

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 with no output schema, the action and allowed value range are described sufficiently for a basic call. But given there are no annotations, the description stops short of covering edge behavior, track validity, or whether the operation can fail, leaving some ambiguity for an agent relying solely on this text.

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 to 'pan' by specifying the -1.0..1.0 range, which the schema lacks, and clarifies that 'track' refers to a mixer track. However, it does not specify the indexing convention (0-based vs 1-based) or whether the pan value is linear or logarithmic.

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?

'Set mixer track pan' clearly identifies the verb, resource, and value being manipulated, and the range (-1.0..1.0) disambiguates the operation from related mixer setters. It does not explicitly contrast with channel_set_pan, but the word 'mixer' makes the resource 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?

The description implies it should be used when adjusting pan on a mixer track rather than on a channel, based on the word 'mixer' and the sibling channel_set_pan tool. However, it provides no explicit when-to-use guidance, exclusions, or mention of when the alternative channel_set_pan would be 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?

There are no annotations, so the description must carry the full behavioral burden. It discloses the operation and the 0..1 range, but it does not state whether the tool creates the send connection or merely adjusts an existing one, how invalid track indices are handled, or whether out-of-range values are clamped. This ambiguity matters for a 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?

A single sentence contains the action, subject, source, destination, and value range with no redundant or filler words. The most decision-relevant 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 simple setter with three required parameters and no output schema, the description covers the core call semantics. However, it omits usage prerequisites and the relationship to mixer_route, which an agent likely needs to know to invoke it correctly in a mixing workflow.

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 adds critical meaning: 'from one mixer track to another' maps src_track and dst_track, and '(0..1)' defines level's valid range. However, it does not explain track indexing conventions, whether the tracks are zero-based, or how non-numeric or out-of-range level values are treated.

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 a specific verb and resource: set the send level, and it clarifies the directional relationship ('from one mixer track to another') plus the valid range (0..1). It is distinct from sibling tools like mixer_route or mixer_set_volume because 'send level' is a different parameter, though it does not 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 about when to use this tool versus mixer_route, mixer_set_volume, or other mixer controls. The description does not mention prerequisites such as an existing send/routing, whether the send must first be created, or what happens when the source and destination tracks are invalid or the same.

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 adds the -1.0..1.0 valid range, which is a meaningful behavioral constraint. However, with no annotations, the description carries the full burden of explaining side effects, error behavior for out-of-range values, or interaction with track state; those are not disclosed.

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

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

One concise sentence with no filler. The action and target are front-loaded, and the range is attached to the relevant parameter 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?

The description is not complete enough for a caller to confidently use the tool: it does not define the track parameter semantics, does not state whether values are clamped or rejected, and gives no indication of return behavior. For a simple setter some of this is inferable, but critical details are missing.

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

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

With 0% schema description coverage, the description partially compensates by defining the separation value range. The track parameter is left ambiguous — it could be a 1-based index, 0-based index, or a name — so the agent still lacks full semantic meaning for one of the two required 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 a specific action (set) on a specific resource (mixer track stereo separation) and includes the valid numeric range. It differentiates from sibling mixer_set_* tools by naming the exact property being modified, though it does not explicitly contrast with 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 about when to use this tool versus other mixer setter tools, no prerequisites, and no mention of which track identifier format is expected. The description simply states what the tool does, leaving usage context entirely to the agent.

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

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

No annotations are provided, so the description carries the full behavioral burden. It only discloses the volume range; it does not explain side effects, whether the volume change persists, how invalid tracks are handled, or whether automation is overridden. This is insufficient for a mutating tool with zero 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, front-loaded sentence with no filler. Every word contributes either the operation, the resource, or the valid range, making it appropriately sized for a simple setter.

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 annotations, no output schema, and no parameter descriptions, this is too sparse for an autonomous agent. The only contextual addition is the volume range; track semantics, effect, and failure behavior are all missing. It barely exceeds what the tool name and schema titles already imply.

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 the volume range (0.0..1.0) but does not explain the 'track' parameter at all, such as zero-based indexing, valid ranges, or how tracks are identified. The track parameter remains semantically opaque.

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: 'Set mixer track volume' with a clear valid range. It clearly identifies the mixer domain, distinguishing it from channel_set_volume and from other mixer track setters like mixer_set_pan or mixer_mute.

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

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

No guidance is given about when to use this tool versus alternatives, such as channel_set_volume or mixer_set_pan. There is no mention of prerequisites, valid track indices, or contexts where this tool 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.