Larkella

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and closed-world behavior, so safety is covered. The description adds that the response is informational content about the product (features, privacy, signup), which is useful context, but says nothing about format, depth, or how it differs behaviorally from the sibling info tools.

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 a colon-delimited list) that front-loads the core identity before the topic list. No filler or repetition.

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

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

With no input parameters and no output schema, the description carries the burden of conveying what the response contains, and the topic list does that adequately. What remains missing is any signal of how it relates to faq/get_started, which matters given four overlapping info siblings.

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 clarify; the baseline of 4 applies. The description does not mislead about inputs.

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 concrete resource (Larkella's product overview) and enumerates what it covers: features, audience, setup, privacy, the free test, and signup. It is clear what the tool is, but it never distinguishes itself from siblings like faq or get_started, whose content overlaps with 'setup' and general questions.

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 this is the overview/introductory tool and that faq or get_started cover narrower needs, but the description never says when to pick this over those siblings or when not to. No prerequisites 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety and determinism profile is fully covered by structured data. The description's only added value is naming the content topics, which is modest; it says nothing about whether the answers are static or dynamically generated, nor about length or structure.

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 content type stated first and the covered topics parenthesized, so nothing is buried. It could gain a clause about when to prefer it over siblings at no real length cost.

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

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

For a zero-parameter read-only tool with rich annotations and no output schema, the description covers the essentials. The remaining gap is routing: an agent facing 'about', 'get_started', and 'faq' has no basis in the description for choosing among them.

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

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

The tool takes zero parameters, so there are no parameter semantics to explain and the baseline of 4 applies. The description correctly implies a single, unfiltered content fetch rather than suggesting any hidden arguments.

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

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

The description identifies the resource (a fixed set of FAQ answers) and enumerates the topics covered (AI disclosure, phone numbers, pricing, call transfers), so an agent knows roughly what content comes back. However, it is noun-phrase only with no verb, and it does nothing to distinguish this from the sibling tools 'about' and 'get_started', which plausibly return overlapping introductory content.

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 'about' or 'get_started', which are the obvious alternatives for introductory information. The topic list hints at coverage but never states a selection condition or exclusion.

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=true, destructiveHint=false, idempotentHint=true and openWorldHint=false, and for a zero-parameter content tool that fully covers the safety profile. The description adds no further behavioral context (e.g., that it returns static marketing/onboarding copy rather than a live signup flow), so it only marginally exceeds the annotation baseline.

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 zero waste, front-loading the primary intent (try free) and folding the practical timings into a parenthetical. Every clause carries information.

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

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

With no parameters, no output schema, and full annotation coverage, the definition is nearly complete for such a simple tool. The only gap is that an agent cannot tell whether the response is static onboarding copy or a live interactive flow.

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. Baseline 4 applies for a no-param tool.

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

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

The description names the resource content concretely: how to try Larkella free, sign up, or contact the team, with setup and test-call timings. That is enough to tell it apart from static-info siblings like about and faq, though it never names those siblings 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?

The three covered intents (trial, signup, contact) imply when an agent should reach for this tool, but there is no explicit routing guidance such as 'use this when the user asks how to sign up; use about for company background'.

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=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so safety is covered structurally. The description usefully signals the content shape (what each industry does, whether it has a dedicated page) but says nothing about ordering, volume, or return format.

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 dense sentence with no filler, and the core content claim leads. The phrasing around 'the page for the ones with their own page' is slightly convoluted but not wasteful.

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

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

With no output schema and no parameters, the description carries the burden of explaining what comes back and it only loosely does so ('what it does for each, and the page for the ones with their own page'). It is enough to attempt the call but leaves the response shape underspecified for a discovery tool whose whole purpose is the returned content.

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; the description correctly implies a no-argument listing call. Nothing it could add about parameters would be meaningful here.

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 noun phrase 'The kinds of business Larkella answers calls for' does convey that the payload is a catalogue of supported industries with per-industry descriptions, but it never uses a verb to state that the tool returns that list. It also gestures at a sibling relationship ('the ones with their own page') without naming the `industry` tool that fetches a single one.

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

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

There is no explicit when-to-use or when-not guidance; an agent must infer that this is the browse/discovery entry point and that `industry` is for drilling into one entry. The phrase 'the page for the ones with their own page' points at that split only obliquely.

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 readOnly, idempotent, non-destructive, closed-world, so the safety profile is covered. The description does add content-level behavior — an example call and the industry's common questions are returned — which is useful, but it says nothing about depth, length, or format of the returned material.

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 names the subject first and then the contents. No waste, though it is thin enough that a clause about the alternative tool could have been added without bloat.

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

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

With no output schema, the description must convey what comes back; it gestures at this (example call, common questions) but not the shape, depth, or whether the content is marketing copy versus structured data. Adequate for a simple one-param read tool, but leaves real ambiguity.

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 has a five-value enum, so the schema carries the semantics. The description only restates 'one kind of business' without adding guidance about which vertical to pick or what happens for an unsupported one, so 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 states a specific resource and scope: Larkella's AI receptionist offering for one kind of business, including an example call and common questions. This implicitly distinguishes it from the sibling 'industries' (detail for one vs. presumably a list), but the tool name 'industry' alone is vague and the differentiation is never made explicit.

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

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

Usage is only implied: fetch this when you need in-depth content for a single vertical. There is no explicit when-to-use vs. 'industries', 'faq', or 'about', nor any statement of prerequisites or when this is the wrong choice.

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