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

readOnlyHint=true already covers the safety profile, so the bar is lower, and the description still adds real context: the call also enumerates model capabilities (colour temperature range, supported effects). That dual-purpose behavior is not derivable from the annotations or the empty 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?

Two short sentences, front-loaded with the primary function and followed by the secondary capability-listing behavior. No filler, no 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?

With an output schema present, return values need not be explained, and the description still summarizes them plus the capability discovery feature. For a zero-parameter read tool this is essentially complete; only explicit guidance on when to reach for it over nothing 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?

Zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. The description correctly spends no words on argument 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?

States a specific verb and resource ("Read the light's power, mode, brightness, colour, effect and battery") and enumerates exactly what comes back, which cleanly separates it from the set_* siblings. It stops short of naming an alternative explicitly, but the read-vs-set distinction is unambiguous.

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

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

The read verb implies the natural use case (inspect current state before or after calling setters), but there is no explicit when-to-use or when-not-to-use statement. An agent can infer the workflow, yet nothing routes it explicitly.

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 already declare readOnlyHint=false and destructiveHint=false, so the mutating-but-safe profile is structured data. The description adds that the mark is recorded for later training, which hints at persistence, but it doesn't say whether marks are retrievable later, what happens outside music mode, or whether repeats accumulate. Adequate, 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?

Two short sentences, front-loaded with the core action, with no filler. 'For training' is the one slightly wasted clause since it's never explained.

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 an output schema present, return values needn't be explained, and only two parameters exist. However, for a stateful tool tied to music mode, the description omits the key precondition (music mode active) and any note on how marks are later consumed, leaving a real 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 50%: the 'kind' parameter already enumerates breakdown/lift/vocal/build/drop/other, so the description adds nothing there. The undocumented 'note' parameter is only indirectly illustrated by 'the chords just lifted'. That example is helpful but not a substitute for describing what the note field is for.

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

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

The description states a specific verb (flag/mark) and a specific object (a moment in the music mode recording), which clearly distinguishes it from siblings like start_music_mode and stop_music_mode. The parenthetical example ('the chords just lifted') makes the resource concrete. Minor vagueness remains in 'for training' – it doesn't say what the marks train or feed.

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?

'Call it the moment the user says so' gives a trigger condition, but it's implied rather than explicit: there's no statement that music mode must already be active, no handling when it isn't, and no alternative tool named. An agent can infer usage but must guess at 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?

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, so the safety profile is covered elsewhere. The description adds little beyond that: it does not say what happens if the name is unknown, whether all light attributes are overwritten, or whether the change applies immediately.

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 waste, and the core action is front-loaded before the discovery hint.

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 mutation with an output schema and annotations, this covers the essentials (what it does, where to find the name). It omits failure behavior and the scope of state change, which matter for a mutating 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 carries the burden, and it does so usefully by indicating that the sole parameter is the name of a saved scene obtainable via get_light. It stops short of stating whether the name is case-sensitive or must match exactly.

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 verb+resource: restoring the light to a saved scene. The phrasing 'put the light back' is slightly informal, but combined with the get_light reference it clearly marks this as scene recall rather than scene saving, distinguishing it from save_scene.

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

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

It implies the workflow prerequisite by noting that get_light lists the saved scenes, which tells an agent where to get valid names. It never explicitly contrasts recall with save_scene or states when recall is preferred over setting brightness/color directly.

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 say readOnlyHint=false and destructiveHint=false; the description adds the critical nuance that an existing scene with the same name is replaced, i.e. silent overwrite with no confirmation. That is real behavioral context beyond the structured fields. It stops short of saying whether the save persists across restarts or what happens on invalid names.

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 verb front-loaded and the overwrite caveat appended where it is most needed. No filler, no 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?

An output schema exists, so return values need not be explained, and there is only one parameter. The definition covers the main risk (overwriting a same-named scene). It is slightly thin on persistence scope (scene stored on device vs. app session) for a stateful feature that pairs with recall_scene.

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 one parameter with 0% description coverage, so the description must compensate. It does partially: 'under a name' plus 'replacing any scene with that name' establishes that name is the lookup key used for overwrite. It gives no constraints on format, uniqueness, length, or case sensitivity.

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?

Specific verb+resource: 'Save the light's current look under a name' tells the agent exactly what is captured and stored. It implicitly contrasts with sibling recall_scene (storing vs restoring) but never names it, so differentiation is inferred rather than stated.

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?

Phrasing ('current look') implies the tool is used to snapshot the present state, which is enough to pick it over the set_* tools. However, there is no explicit 'use this when...' guidance, no mention of recall_scene as the counterpart, and no stated prerequisites or limits.

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 already declare it as a non-read-only, idempotent, non-destructive mutation, so the bar is lower; the description still adds real value by disclosing that other settings are preserved and that under music mode the call mutates the music mode brightness range instead of the static level. It doesn't mention failure modes (e.g., device off/unreachable) or rate limits, which keeps it from a 5.

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, both load-bearing, with the primary behavior front-loaded and the contextual exception second. No filler or restatement of the name.

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

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

With an output schema present, return values need no explanation, and the description covers scope, side effects, and the music-mode edge case. Only minor gaps remain — preconditions and error behavior — which are not decisive for a one-parameter call.

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 100% and the single brightness parameter is documented with its 0-100 range in the schema, so the definition already carries the semantics. The description adds no format or unit detail beyond that, making the baseline 3 appropriate.

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

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

States a specific verb (Change) and resource (brightness) plus an explicit scope qualifier: 'brightness only, keeping the current white, colour or effect.' That qualifier is exactly what separates it from siblings like set_white, set_color, and set_effect, so an agent can route correctly without reading 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?

The phrase 'keeping the current white, colour or effect' communicates the condition that selects this tool over the color/effect setters, and the music-mode sentence flags a context where the effect differs. It stops short of naming the alternative siblings explicitly or stating preconditions such as the light needing to be on.

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 already declare that this is a mutating, idempotent, non-destructive operation, so the description has a lower burden. It adds little beyond those annotations and does not clarify behavioral questions such as precedence between hex and hue/saturation or whether unspecified parameters retain current values.

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

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

A single front-loaded sentence with no wasted wording. The primary action comes first, followed by the two supported colour specification modes.

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 existence of an output schema and safety annotations removes the need to explain return values or basic mutation safety. Still, an agent would benefit from knowing how hex and hue/saturation interact, whether brightness is affected, and what defaults apply when no parameters are supplied.

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 already documents three of four parameters with ranges and examples, giving a baseline of 3. The description usefully frames hex as an alternative to hue and saturation, but it omits the optional brightness parameter and does not explain parameter interaction rules beyond the basic either/or.

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 verb and resource: setting a coloured light. It also distinguishes the two main input modes (hue/saturation vs #RRGGBB), though it does not explicitly contrast with siblings like set_white or set_brightness.

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: use this for coloured light rather than white or brightness. However, it gives no explicit guidance on when to prefer hex over hue/saturation, what happens if both are supplied, or how it relates to siblings such as set_effect.

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 already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the safety profile is covered elsewhere. The description adds nothing beyond that: it does not say whether starting an effect replaces the current effect, how brightness interacts with the effect's own colors, or whether the effect persists after disconnect.

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 filler; the verb and resource come first. It is efficient, though its brevity is achieved by omitting rather than by compressing real content.

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

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

An output schema exists, so return values need not be explained, and annotations cover the mutation semantics. Still, for a state-changing tool that interacts with brightness and with other effects, the description omits the prerequisite (valid effect list) and any note about replacing a running effect.

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 only 50% and the description adds no parameter semantics at all. The critical constraint — that 'effect' must be drawn from get_light's supports.effects — is only in the schema, and the interaction between the optional 'brightness' parameter and the effect is explained nowhere.

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 gives a specific verb+resource pair ("Start ... the light's built-in effects"), which is clearly distinct from the sibling stop_effect. It stops short of naming the sibling or stating scope (e.g., which light, whether it replaces an active effect), so it is clear but not maximally differentiating.

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 call this versus set_color, set_white, or recall_scene, and no mention of the required prerequisite that the effect string come from get_light's supports.effects (that only appears in the schema). The reader is left to infer the usage context from the verb 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?

Annotations already disclose that the tool is mutating, idempotent, and non-destructive. The description adds meaningful behavioral context beyond those annotations by noting that turning the light on restores its previous state, which is important for understanding the effect of the operation.

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

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

The description is two short sentences and is front-loaded with the primary action. Every sentence adds useful meaning without unnecessary detail.

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

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

For a simple one-parameter power tool with annotations covering safety and idempotency, and with an output schema present, the description is complete enough. It explains the action and the key state-restoration behavior an agent needs to know.

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 for the single `on` boolean parameter is 0%, so the description must carry the semantic burden. It does this well by explaining that the parameter controls on/off state and that `on` restores prior behavior.

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

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

The description states a precise verb and resource: turning the light on or off. This is clearly distinct from sibling commands such as set_brightness, set_color, and set_effect, which adjust other light attributes rather than power state.

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 on/off use case is implied by the description, but there is no explicit when-to-use guidance, no mention of alternatives like get_light or scene recall, and no stated exclusions. It is adequate but leaves the agent to infer usage context.

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

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

The annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, establishing that this is a safe, repeatable setter. The description adds the practical note to check get_light for the supported range, but says nothing about what happens to the tint or brightness defaults or whether it overrides color settings.

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 the core action front-loaded and the range-lookup hint second. Every sentence earns its place and there is no filler.

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

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

The tool is simple, with one required parameter and an output schema available, so the description does not need to explain return values. The main gap is the lack of a warning about interaction with set_color or set_brightness, but the definition is otherwise complete enough for an agent 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 67%, and the schema itself provides examples for kelvin (tungsten, daylight) and explains tint and brightness ranges. The description only restates 'colour temperature' and adds no detail on how the parameters combine or what valid values exist beyond the schema, so baseline 3 is appropriate.

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

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

The description uses a specific verb and resource ('set white light by colour temperature'), which distinguishes it from siblings like set_color and set_brightness. It is clear what the tool does, though the distinction from the nearby set_color and set_effect tools 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?

It provides one useful pointer, telling the agent to use get_light to discover the model's supported range. However, it gives no guidance on when to use this instead of set_color or how it interacts with set_brightness, leaving alternatives 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?

Annotations only state readOnlyHint=false and destructiveHint=false; the description adds that the mode reacts to audio playback and uses slow ethereal color. However, it omits session lifecycle details, such as that the mode continues until stopped via stop_music_mode, and it does not surface the default recording-for-training behavior that the schema mentions.

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 written sentences with zero waste. The core behavior is front-loaded, and the mood list is appropriately appended as supporting 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?

An output schema exists, so return values need not be explained. The description covers the mode's behavior and mood options; the main remaining gap is lifecycle information (how to stop it) and the privacy implication of recording, though the latter is documented in 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 100%, so both parameters are fully documented in the schema. The description repeats the available mood names but adds no selection guidance or interpretation beyond what the schema already provides, so the baseline 3 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?

States a specific verb ('start') and resource ('music mode') and explains the distinctive behavior: the light follows what the Mac is playing, including AirPlay from an iPhone. It is clearly distinguishable from static effect tools like set_effect, though it does not explicitly name siblings.

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 it (when you want music-reactive lighting) but gives no explicit when-to-use/when-not guidance or alternatives. It does not mention stop_music_mode or explain how this differs from set_effect beyond the reactive behavior.

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 already declare non-readonly, idempotent, non-destructive behavior, so the bar is lower. The description adds genuinely useful post-condition context — the light reverts to the previous steady white or colour — which is not captured by any structured field.

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 short sentence with no waste; the action is front-loaded and the outcome follows immediately.

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 an output schema present and zero parameters, the description need only explain the action and its side effect, which it does. Minor gap: it does not state what happens if no effect is running, though idempotentHint covers most of that.

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

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

The tool takes zero parameters, so the baseline is 4. There is nothing parameter-related for the description to compensate for, and it correctly does not pad with argument detail.

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

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

States a specific verb and resource ("stop the running effect") plus the resulting state ("return to the last steady white or colour"). This implicitly separates it from set_effect and stop_music_mode, though it never names a sibling explicitly.

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 only implied — an agent can infer it applies when an effect is active, but there is no explicit when/when-not guidance or reference to alternatives such as stop_music_mode. Adequate but leaves selection logic 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?

Annotations declare a non-read-only, non-destructive mutation, and the description usefully clarifies that the prior light state is restored rather than left at the music-mode values. It does not say whether the restoration is instant, whether it fails if music mode is not active, or what the response contains.

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 sentence with the action front-loaded and the side effect trailing. Zero waste.

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

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

For a zero-parameter state-changing tool with an output schema and annotations covering the safety profile, the description covers what the tool does and its restoration effect. Only the no-op/error condition is unstated, a minor gap.

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

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

The tool takes no parameters, so the baseline is 4; the schema is empty and there is nothing the description could add.

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 verb and resource ('Stop music mode') plus the observable effect ('return the light to how it was'). The inverse sibling start_music_mode makes the pairing obvious, though the description never names it.

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 only implied by the name and the start_music_mode sibling; there is no explicit statement of when to call this versus stop_effect or set_power. An agent can infer the pairing but must do so itself.

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