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

With no annotations provided, the description carries the full behavioral burden. It never states that this is a read-only analysis (no side effects), what defines a 'cycle', or how missing previous-cycle data is handled — all things an agent would want before calling a comparison 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, front-loaded sentence with zero filler. The comparison scope is stated in the first few words, so the agent's decision is immediate.

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 needn't be explained, and the zero-param signature keeps the surface small. Still, with no annotations and no mention of what constitutes a cycle or whether the comparison is read-only, the description leaves a few gaps for an analysis tool.

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

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

The tool takes zero parameters, so there is nothing for the description to explain beyond what the schema already conveys. Baseline 4 applies; the description adds no param detail because none is needed.

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

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

The description pairs the verb 'compare' with a well-defined resource ('current-cycle energy' vs 'equivalent previous-cycle period'), so an agent immediately knows this is a period-over-period delta tool. It stops short of naming why it differs from near neighbors like power_explain_usage_change, which also touches usage changes.

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 statement of when to reach for this tool versus power_explain_usage_change, power_forecast_bill, or power_estimate_load_impact. No prerequisites or exclusions are given; the agent must infer usage from the name and sibling list 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?

No annotations are provided, so the description carries the full disclosure burden. It does add one useful fact — that devices are 'simulated', not real hardware — but says nothing about what commands are valid, whether state persists, whether actions are reversible, or what errors look like.

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 resource and its device scope front-loaded and no wasted words. It is efficient, though its brevity reflects under-specification rather than tight editing of richer 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, but the agent still lacks the two things it needs most: the accepted command vocabulary and the boundary against power_turn_on_and_verify. For a state-changing control tool with no annotations, this is a significant 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 compensate. It lists plausible device values (light, fan, TV, AC, dishwasher), partially covering the 'device' parameter, but gives no hint at all about valid 'command' values beyond the schema's default of TURN_ON, leaving half the parameters semantically undefined.

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 ('Control') and resource ('simulated household device') and enumerates the device types, so the scope is clear. However, it does not differentiate from the sibling power_turn_on_and_verify, which also appears to control device power, leaving real overlap unresolved.

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 when-to-use guidance, no prerequisites, and no mention of alternatives such as power_turn_on_and_verify despite the obvious overlap in controlling a device. The agent must infer usage entirely.

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 not say whether this is a pure calculation with no side effects, what permissions it needs, or what 'incremental charge' is relative to. Only the estimate framing implies a read-only simulation, which is inference rather than disclosure.

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 tight sentence with the verb and outcome front-loaded and no filler. It is efficient, though its brevity is also the source of the missing context noted 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?

An output schema exists, so return values need not be explained, but the description still leaves the sole required parameter's meaning and the tool's side-effect profile unspecified. For a one-parameter tool this is minimally 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 single required parameter 'device' has 0% schema coverage and no description text, and the prose says 'configured appliance operation,' creating ambiguity about whether the argument is a device identifier or an operation reference. The description does not compensate for the coverage gap at all.

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 ('Estimate') and resource ('load impact' / energy and incremental charge), which is clearer than the bare name. It does not explicitly differentiate itself from siblings like power_forecast_bill or power_compare_periods, so it stops short of a 5.

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

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

There is no when-to-use guidance, no prerequisites, and no named alternative. The phrase 'configured appliance operation' hints at a precondition but never states it, leaving the agent to infer when this beats power_forecast_bill or power_compare_periods.

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 discloses only one trait: that unattributed usage is preserved rather than dropped. It says nothing about required inputs, data sources, timeframe assumptions, or how contributors are ranked, which matters for a no-parameter analysis 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 tight sentence with no filler, and the two key behaviors (ranking, preserving unattributed usage) are front-loaded. It is efficient, though the terseness trades away clarity rather than genuinely earning it.

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, but the description still leaves the tool's purpose and selection context ambiguous against eight power siblings. For a zero-parameter analytical tool with no annotations, this is too thin to guide 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?

The tool takes zero parameters, so there is no parameter surface for the description to compensate for. Baseline 4 applies; nothing is misleading about how inputs are described.

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 gestures at the tool's job — ranking contributors to a usage change and retaining unattributed household usage — but never states plainly that it explains why household power usage changed. The resource is inferable from the name, not from the text, and it does not distinguish itself from siblings like power_compare_periods.

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 indication of when to call this versus power_compare_periods, power_run_diagnostic, or power_forecast_bill. Usage is only loosely implied by the phrase 'explain usage change'; no prerequisites, triggers, or exclusions are given.

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

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

No annotations are provided, so the description carries the full behavioral burden. It discloses only the scope limitation; there is no mention of auth requirements, data freshness, assumptions behind the projection, or failure modes. For a zero-annotation estimation tool this is thin.

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 states the estimate and immediately bounds its scope. No filler or redundancy.

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

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

With zero parameters and an output schema present, return values are already covered, so the description's main job is the scope caveat, which it delivers. However, with no annotations it should do more to explain the basis of the estimate and its limitations.

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 description adds nothing about parameterization because there is none to document.

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 ('Estimate') and resource ('current and projected energy charges'), and clarifies scope with 'not a complete utility bill.' It does not, however, distinguish itself from siblings like power_estimate_load_impact or power_compare_periods, leaving some ambiguity about overlap.

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 'not a complete utility bill' implies a when-not condition, warning the agent that this is a partial estimate. But no explicit alternative tool is named for when a full bill or a different projection is needed, so routing guidance is only implied.

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 adds the useful context that the tariff is an 'illustrative demo' rather than real billing data, and 'Return' implies a non-mutating read, but it says nothing about permissions, data freshness, or scope limits. Adequate for a zero-parameter read, 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 front-loaded sentence with no filler, correctly leading with the action and resource. It is tight, though the term 'position' is left unqualified and does no extra work.

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 the description need not enumerate return values, and with zero parameters the surface is small. It is complete enough to invoke, though the ambiguous word 'position' (tier? rate? standing?) means the description relies entirely on the output schema to explain what is actually returned.

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 there is nothing for the description to disambiguate and the baseline is 4. No syntax or format detail is needed.

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

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

States a specific verb (return) and resource (tariff status / current and projected position), so the agent knows this is a read of tariff standing rather than a device or billing action. It does not explicitly contrast itself with siblings like power_forecast_bill or power_compare_periods, which could plausibly overlap in the tariff/billing space, so it stops short of a 5.

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

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

There is no statement of when to reach for this tool versus power_forecast_bill or power_compare_periods, and no prerequisites or exclusions. The agent is left to infer the use case purely from the tool 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 carries the full behavioral burden. It does disclose a multi-phase process and that retries happen conditionally ('safely retry when permitted'), which is useful sequencing context, but it says nothing about whether the diagnostic is disruptive, what permissions are required, or what changes are made to the device.

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 filler or repeated content. The phrase 'safely retry when permitted' is vague and slightly hollow, but overall 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?

An output schema exists, so return values need not be explained. However, for a no-annotation tool with a required, completely undocumented parameter and no statement of side effects or permission requirements, the description leaves meaningful gaps an agent would need filled 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% for the single required 'device' parameter, and the description adds no format or naming guidance (device ID, name, or type). The description does nothing to compensate for the completely undocumented input.

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 recognizable operation (run a diagnostic on a device) and enumerates the sequence of verify → diagnose → retry → re-verify. It does not, however, distinguish this tool from siblings like power_turn_on_and_verify, which also verifies a device, so an agent must guess at 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?

There is no statement of when to use this tool versus the seven siblings (power_control_device, power_turn_on_and_verify, etc.), nor any prerequisites or triggers. 'When permitted' is asserted but never defined, so the agent has no way to know what conditions gate the retry path.

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 supplied, so the description carries the full burden. The word 'suggest' implies a non-mutating advisory call, but the description never confirms it takes no real action (critical given the sibling set includes power_control_device and power_turn_on_and_verify), nor does it mention permissions, cost, or rate limits.

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 clean sentence with no filler, so it is not padded. However, its brevity comes at the cost of substance rather than from tight editing, so it reads as under-specified rather than efficient.

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

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

An output schema exists, so return-value detail is not required. Yet with zero annotations, 0% parameter coverage, and eight sibling tools, the description leaves the agent without enough to know what the tool produces, when it applies, or how the lone parameter 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% with one non-trivial parameter. 'Optional target-consumption guidance' hints that target_kwh influences output, but the description never states the parameter's units, format, or effect, and the schema itself only supplies the name 'Target Kwh' and a null default.

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 verb ('Return') and loosely a resource ('actions'), plus optional 'target-consumption guidance', so the general shape is inferable. But it never states what domain of action these are (energy-saving? device control?) or what 'evidence' is drawn from, leaving it distinguishable from siblings like power_control_device or power_explain_usage_change only by guesswork.

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, when-not-to-use, or alternative tool is named. The only contextual cue is the phrase 'optional target-consumption guidance', which weakly implies the target_kwh parameter triggers extra behavior, but no condition for reaching for this tool over power_forecast_bill or power_estimate_load_impact is given.

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

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

No annotations are provided, so the description carries the full behavioral burden. It implies a mutation (turning a device on) plus a verification step, but never says what happens on failure, whether the operation is idempotent or reversible, what permissions are needed, or what the verification result 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?

A single front-loaded sentence with no wasted words. It is appropriately sized for the payload, though the terseness is part of why other dimensions are thin.

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, but for a mutation tool with zero annotations and an undocumented parameter the description is too thin. It omits side effects, failure behavior, and the device identifier format an agent needs 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% for the single required 'device' parameter, so the description must compensate and does not. It never indicates whether 'device' expects an ID, a name, or a constrained set of values.

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

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

The description states a specific compound verb+resource: turn on a simulated device and verify its direct electrical response. It is clear what the tool does, but it does not distinguish itself from the sibling power_control_device, which plausibly also switches devices on, leaving the agent to guess which one to pick.

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 when-to-use guidance, no mention of prerequisites, and no reference to any alternative such as power_control_device. The only contextual hint is the word 'simulated', which does not route the agent between siblings.

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