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

No annotations are provided, so the description carries full responsibility. It discloses that the operation returns a live state and enumerates the data categories, but it does not explicitly state that the operation is read-only or side-effect-free. For a get operation this is implied, yet the description could be more transparent about the real-time nature and lack of 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, front-loaded sentence that conveys the scope and content of the return value without wasted words. It is concise while still being informative.

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 (one parameter, no output schema), and the description adequately summarizes the returned data by listing the key domains. However, it could be slightly more explicit about the return format or mention that it is a snapshot, but given the simplicity, the description is sufficiently 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 100%: the serial parameter is fully documented with a pattern, required flag, and example. The description adds no parameter-level detail, but with full schema coverage the baseline of 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 clearly states that the tool retrieves the full live state of a single device, enumerating specific dimensions (IO, rules, network, location). This distinguishes it from siblings like list_devices (lists all devices) and get_device_events (retrieves events), and from mutation tools like set_io and pulse_io.

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

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

The description implies usage for retrieving a comprehensive snapshot of one device, but it does not explicitly state when to use this tool over alternatives or when not to use it. The wording 'from its digital twin' hints that it provides live state rather than events, but exclusions are not named.

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 must carry behavioral context. It discloses ordering ('newest first') and optional filters, but does not mention pagination behavior, cursor/limit semantics, or data retention/availability, leaving gaps.

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

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

A single sentence that front-loads the core action and ordering, followed by available filters. No wasted words.

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

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

For a tool with six parameters and no annotations or output schema, the description provides the essential purpose and filters but omits pagination/cursor context and return-value expectations. The existence of cursor and limit suggests paging, which should be clarified for complete usage.

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 covers serial, from/to, type, and limit partially, but cursor lacks a description. The description adds the key meaning that from/to and type are optional filters, which helps, but it does not explain cursor pagination or limit 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 uses the specific verb 'get' with the resource 'device events' and clearly states it retrieves recent event history for a device, newest first. This distinguishes it from siblings like get_device or set_io.

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 establishes clear context: this tool is for retrieving recent device events with optional time/type filters. It does not explicitly name alternatives or when-not-to-use, so a point is deducted.

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 important behavioral traits: access is scoped to the API key and results are cursor-paginated. It does not describe response format or error handling, but for a simple list tool this is adequate.

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, front-loaded with the primary verb and resource, and every word adds value. 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?

Given the absence of an output schema and the relative simplicity of a list operation, the description covers the essential aspects: what is listed, access scope, filters, and pagination. It could mention default limit or sorting, but this is not critical for 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 input schema has 0% description coverage, so the description compensates by naming the filter parameters (status, productId, online) and labeling them as optional. It also clarifies that limit and cursor are for pagination, adding meaning beyond the bare 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 function with a specific verb ('List') and resource ('devices'), and defines the scope ('the API key can access'). It distinguishes from sibling tools like get_device (single-device fetch) and mutation tools like set_io.

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 (to enumerate accessible devices) and provides context about optional filters and pagination. It does not explicitly name alternatives or exclusions, but the context is clear enough for an agent to choose this tool over 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 provided, so the description carries the full burden. It discloses the core behavior (drive then revert), but it does not specify whether the operation blocks for durationMs or returns immediately, what the default revert state is, or the role of the confirm parameter. This leaves meaningful behavioral gaps for a tool with no annotation fallback.

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, front-loaded with the action and followed by a concrete use case. Every word earns its place; there is 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?

The tool has six parameters, four required, and no output schema. The description explains the core mechanism and provides an example, but it omits the 'confirm' parameter, revert behavior details (e.g., what it reverts to if not specified), and any timing semantics. Given the complexity, a more complete description would cover these points.

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

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

The description adds meaning for core parameters: 'IO', 'state', 'durationMs', and the revert action implicitly explains 'revertState'. However, the 'confirm' parameter is not mentioned at all, and schema descriptions already cover 'serial', 'state', and 'revertState'. With 50% schema coverage, the description only partially compensates for missing parameter detail.

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

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

The description clearly states the tool's function: 'Drive an IO to a state for durationMs, then revert.' It identifies the specific action (pulse), the resource (IO), and the time-based behavior. It also distinguishes from siblings like set_io by explicitly mentioning the revert behavior, making it evident this is for momentary actions.

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

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

The description provides a clear usage context: 'Useful for momentary actions (e.g. a gate trigger).' This implies when to use this tool versus a persistent set, but does not explicitly name alternatives or when-not-to-use scenarios. The context is strong enough for an agent to infer appropriate usage, though it stops short of fully explicit guidance.

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

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

With no annotations, the description carries the transparency burden. It discloses the core behavior (set and hold) and the confirm behavior. However, it does not mention side effects, overwrite semantics, permissions, or return values. Essential behavior is present but limited.

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

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

Two sentences, front-loaded with the action, no filler. Efficiently conveys purpose and confirm option.

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?

This is a simple tool, but with no output schema and no annotations, the description should explain return values and prerequisites. It explains the confirm behavior but not the response format or what happens on failure. The 'io' parameter is undefined, leaving a key aspect incomplete.

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

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

Schema coverage is 50% (serial and state have descriptions). The description adds meaning for 'confirm' by explaining 'wait for a confirmed device reply', which the schema lacks. It does not clarify the 'io' parameter (integer), so the description only partially compensates for the coverage 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 uses the specific verb 'Set' with a clear resource ('device IO') and the latch behavior 'hold it'. It inherently distinguishes from sibling tool 'pulse_io' (which implies a temporary pulse versus a held 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 description implies usage for latching an IO state, but does not explicitly compare to alternatives like 'pulse_io'. It gives a clear directive for the confirm parameter ('Pass confirm:true'), but no when-not or alternative references.

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

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

No annotations are provided, so the description carries the full burden. It does not disclose behavioral traits such as whether changes take effect immediately, whether confirmation is needed, reversibility, or permissions. The optional 'confirm' parameter is not explained at all.

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 to the core 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?

The tool has 4 parameters, no output schema, and no annotations, yet the description is minimal. It lacks information about expected return values, confirmation behavior, or any edge cases. The unexplained 'confirm' parameter and lack of behavioral detail make it incomplete for an agent to invoke 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 only 25%, and the description adds minimal value: it clarifies that ruleId identifies the rule and 'enable/disable' implies the 'enabled' boolean, but it does not explain the 'confirm' parameter. The schema already documents 'serial'.

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 ('Enable or disable') on a specific resource ('on-device rule by its ruleId'). It distinguishes itself from sibling tools like set_io/pulse_io which target I/O.

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

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

The description implies usage for toggling a rule's state but does not explicitly state when to use it vs alternatives or mention any prerequisites/exclusions. Sibling names make the context somewhat clear, but there is no direct guidance.

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