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 clarifies the account-level scope and the kind of information returned (thresholds, delivery channels, triggered state), but it does not mention permissions, pagination, rate limits, or other operational behavior. This is adequate for a simple read-only listing 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, front-loaded sentence with no filler. Every element ('alert definitions', 'state', and the parenthetical examples) contributes useful information without 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 zero-parameter tool with no output schema, the description gives enough detail about what will be returned (thresholds, delivery channels, triggered status) to set expectations. It does not explain return formatting or pagination, but no output schema exists and the listing scope is clear, so it is nearly 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 tool has zero parameters, and the schema description coverage is 100%, so there is no parameter semantics burden. The baseline for zero parameters is 4, and nothing in the description creates confusion or contradicts the 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 ('List') and a specific resource ('alert definitions and state for the account'), making it immediately clear what the tool retrieves. It is easily distinguished from siblings like list_sensors, get_sensor, get_freezer_status, and get_readings_history because none of those deal with alerts.

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 usage is implied by 'List the alert definitions and state for the account', but the description does not explicitly state when to use this tool versus alternatives or when not to use it. For a zero-parameter listing tool the context is fairly obvious, yet no explicit guidance 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 burden; it does disclose that this is a composite read that fans out over three data sets in one call, which is genuinely useful. However, it says nothing about permissions, error behavior for an unknown sensor_id, how much history the 'recent history summary' covers, or whether alerts are the account's global definitions versus sensor-scoped.

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, front-loaded with the core action and ending with the payoff ('answer in a single call'). It is dense but slightly comma-heavy; the parenthetical justification for the naming is defensible but is the least essential clause.

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 compensates well by naming the three components returned. What is missing is scope detail an agent would want: what 'recent' means, alert scoping, and failure behavior for an invalid sensor_id.

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 100% and the single parameter is documented as 'Sensor ID, as returned by list_sensors,' so the schema does the work. The description adds nothing about sensor_id beyond the general framing, 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 ('status check') and resource ('a sensor') and then enumerates exactly what is returned: latest reading, recent history summary, and alert definitions. This makes it distinguishable from the sibling tools (get_sensor, get_readings_history, get_alerts) because it explicitly describes itself as the aggregation of those pieces, and the parenthetical explains the otherwise-puzzling 'freezer' naming.

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 "so the assistant can answer 'is it OK?' in a single call" gives a clear usage context and implicitly routes the agent here instead of chaining get_sensor + get_readings_history + get_alerts. It stops short of explicit when-not conditions (e.g., when you need full history, use get_readings_history).

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 the return contents (count, min, max, average in Fahrenheit, first/last times), which is meaningful transparency, but it never defines the 'recent' window, says nothing about read-only safety or permissions, and doesn't clarify whether raw history is retrievable 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?

One sentence, front-loaded with the verb and resource, with the remaining clauses devoted to enumerating return fields that are otherwise undocumented because there is no output schema. Nothing is redundant.

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?

Because there is no output schema, the description correctly spells out return values, and for a one-parameter read tool that covers most needs. The gaps are the undefined 'recent' time window and the lack of any behavioral note (retention, truncation, permissions), which matter for a tool whose name promises history.

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 is a single parameter with 100% schema description coverage; the schema already explains sensor_id and points to list_sensors. The description adds no further meaning about the parameter (e.g., format or error behavior for unknown IDs), so 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 names a specific action (summarize) applied to a specific resource (a sensor's recent readings) and enumerates the returned fields (count, min/max/avg, first/last times), so an agent knows exactly what it gets. It does not explicitly differentiate itself from siblings like get_sensor or get_freezer_status, and the 'history' in the name sits oddly against a summary-only result, but the core purpose 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?

Usage is only implied: the summary framing suggests this is for aggregate statistics rather than raw data or current status, which hints at when to prefer it over get_sensor. There is no explicit when/when-not guidance, no named alternative, and 'recent' is never given a time window, so an agent must guess at the boundary conditions.

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 return payload (temperature in C and F, humidity, last check-in, battery, offline flag) plus the read-only nature implied by "Get." It says nothing about behavior for unknown sensor IDs, stale data, or unit/format details beyond the field list.

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 verb and resource before the field enumeration. Every clause 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?

For a one-parameter read tool with a fully documented schema, the description is nearly sufficient, and the field list compensates for the absent output schema. Minor gaps remain around error behavior for invalid IDs and how fresh "latest" data is.

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 100% and the sensor_id description already points at list_sensors as the source of valid IDs. The description adds no additional parameter meaning, 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?

The description gives a specific verb and resource ("Get the latest reading for one sensor") and enumerates the returned fields, so the agent knows exactly what comes back. It does not explicitly name get_readings_history as the alternative for historical data, so the split with that sibling must be inferred from the word "latest."

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?

"Latest reading" implies a current-state lookup rather than a historical query, which gently signals when to use it over get_readings_history, but the description never states the condition explicitly nor excludes any case. The single-use context is left 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?

No annotations are provided, so the description carries the burden, and it does disclose the shape of the data returned (temperature, humidity, battery, offline status) plus the API-key visibility scope. It omits pagination, ordering, and rate-limit behavior, which keeps it short of 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?

A single sentence that front-loads the action and resource, then the return contents. 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 no parameters and no output schema, the description is nearly sufficient: it explains what is returned and the visibility scope. Only minor operational details (ordering, pagination) are absent, which is a small gap for a simple zero-arg list 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 and has an empty object schema, so there is nothing to disambiguate. Baseline 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?

States a specific verb and resource ('List the Temp Stick sensors') and scopes it to what the API key can see. It also names the returned fields, which makes it distinguishable from get_sensor, though it doesn't explicitly contrast with that sibling.

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?

Use is implied by 'list the sensors visible to your API key', which suggests a discovery/overview role. There is no explicit statement of when to prefer get_sensor or get_freezer_status over this tool, so an agent must infer the routing.

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