LivaGlow Shop

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

Annotations already declare readOnly, idempotent and non-destructive, so the safety profile is covered. The description adds genuinely useful behavior beyond that: the pricing model (first mug full price, subsequent mugs discounted, discount applies across different designs), that shipping may be free, and that it mirrors checkout maths before promo codes. It stops short of describing rounding, currency handling or rate behavior, so it is not 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 dense sentence that front-loads the core purpose and then lists the output components; nothing is wasted. It is slightly run-on, which keeps it from being a model of structure, but the information density is high.

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 one parameter, full annotations, and no output schema, the description supplies what an agent needs: what is computed, in what currency, and which figures are returned. The only minor gap is that promo codes and any limits on the quantity/order context are only implicitly addressed.

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 parameter's bounds (1-500) and meaning ('Number of mugs in one order') are fully documented there. The description's mention of discounts across different designs is a pricing rule rather than added meaning about the quantity argument itself, so this is correctly at the baseline where the schema does the work.

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 computation (exact price for a given number of mugs) and states the currency (EUR), which unambiguously separates it from every lookup-oriented sibling such as get_shop_overview or get_delivery_estimate. It also enumerates the components of the result (unit pricing, shipping, total), so the agent knows what the tool produces.

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 by the resource: call it when you need a price for a quantity of mugs. However, there is no explicit statement of when to prefer this over a sibling, nor any exclusion (e.g., promo-code pricing is out of scope, which is only hinted at by 'before any promo code'). The context is inferable but not spelled out.

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 readOnlyHint/idempotentHint/destructiveHint=false, and the description reinforces and extends this: 'Nothing is stored or ordered' explains why a 'create' tool is harmless. It adds concrete behavior beyond the annotations: automatic centred placement unless x/y given, template text-slot replacement in order, and the hard constraint that photos cannot be passed.

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 paragraph that front-loads the outcome ('turns a design description into a link') before the constraints. Every sentence carries information, though the block of clauses about placement and templates could be broken up for faster scanning.

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 no explanation; the description instead covers the prerequisites, the no-persistence guarantee, placement defaults, template semantics and the photo limitation. Nothing an agent needs to build a valid call correctly 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?

Schema description coverage is 100%, so the baseline is 3, but the description adds real semantics the schema does not carry: the auto-placement rule for items lacking x/y and the ordered slot-replacement behavior with templates. It also clarifies the photo constraint and the photo:{shape} workaround.

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: it turns a design description into a link that opens the designer with a finished draft, and enumerates what the draft can contain (texts, cliparts, background, photo placeholder, template). It is clearly distinguishable from siblings like get_design_options, which it names as a prerequisite rather than a substitute.

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?

Gives an explicit prerequisite (call get_design_options first for valid fonts, cliparts and templates) and describes the end-to-end customer flow (open link, check 3D preview, upload photo, order). It stops short of stating when *not* to call it or what alternatives exist for other design flows, but the context is unambiguous.

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 this read-only, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuinely new context by identifying the provenance and nature of the content ('as published on the product safety page'), implying a static, authoritative source rather than a computed or user-specific result.

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, and the parenthetical topic list efficiently communicates scope. Slightly dense, but every clause 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?

For a zero-parameter, read-only retrieval tool with no output schema and full annotation coverage, the description supplies enough to call it correctly: what it returns, its topics, and its source. It would be complete at 5 if it noted what happens when no care/safety content exists or how it relates to the FAQ/guide search tools.

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 the schema is a bare object, so there is nothing for the description to clarify. With no parameters, the baseline of 4 applies; the description correctly implies a single fixed scope with no filtering options.

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 specific resource (care instructions and safety warnings for the mug) and enumerates the concrete subtopics covered (dishwasher, microwave, thermal shock, damage). It is clearly distinguishable from pricing, delivery, and design siblings. It only loses a point for not explicitly contrasting itself with the content-retrieval siblings (search_faq, search_guides).

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 or when-not-to-use guidance is given, and no alternatives are named even though search_faq and search_guides could plausibly surface overlapping care content. Usage must be inferred entirely from the topic list.

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 cover the safety profile (readOnly, idempotent, non-destructive). The description adds genuinely non-obvious business logic: the 14:00 Berlin business-day cutoff that determines production start, which materially affects the answer an agent receives. It doesn't state determinism or response shape, but the cutoff rule is real added context.

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 that front-loads the purpose and then nests the qualifying scope and the cutoff rule. Compact with no filler, though the parenthetical stacking is slightly cramped.

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 still indicates what comes back ('earliest and latest delivery date') and for a zero-parameter tool that is close to sufficient. It omits any note on whether the estimate is cached or how time zones other than Berlin are handled.

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 usefully explains why no inputs are needed by fixing the context (placed now, Germany, DHL), which is the closest thing to parameter semantics available.

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 resource ('expected delivery window') with an explicit scope qualifier ('for an order placed now (Germany, DHL)'). It clearly tells the agent this is a forward-looking shipping estimate rather than a price or care query, though it doesn't explicitly name an alternative sibling to differentiate against.

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 'for an order placed now' implies the usage context (answering delivery-time questions), and the Germany/DHL parenthetical scopes applicability. However, there is no explicit when-to-use vs. when-not guidance and no mention of alternatives such as calculate_price for cost questions.

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, covering the safety profile. The description adds the prerequisite role and content categories but does not disclose caching, rate limits, authentication, or return format specifics. With annotations carrying the behavioral burden, a 3 is appropriate.

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?

Single front-loaded sentence that begins with the agent-facing purpose and then lists payload categories without filler. Every clause earns its place and no information is repeated.

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 a no-parameter, read-only catalog with no output schema. The description enumerates the full set of data categories the agent can expect before calling create_design_link, and annotations cover safety. Nothing material is missing for 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 has zero parameters and the input schema is empty. Per the rubric, 0 params sets a baseline of 4. The description adds no parameter details because there are none to describe.

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?

Names the resource (design options) and enumerates the exact payload (fonts with style hints, text size range, background presets, photo shapes, clipart ids, templates with text slots, print-area geometry/limits), and explicitly scopes it as a prerequisite to create_design_link. This clearly distinguishes it from all 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?

States explicit context ('before create_design_link'), which tells the agent exactly when to call it. It does not mention when not to use it or alternative tools, but for a zero-parameter read-only catalog this is clear enough.

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 establish readOnlyHint, idempotentHint, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds the Markdown output format and enumerates valid paths, but it does not disclose error behavior for unsupported paths or any authentication/rate-limit context.

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 purpose is front-loaded in the first clause, followed by a compact, necessary enumeration of supported paths and examples. Every sentence and example earns its place by compensating for the lack of enum constraints in the schema.

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 read tool with full annotation coverage and no output schema, the description supplies the return format (Markdown) and valid path space, which is sufficient to invoke it correctly. It stops short of mentioning invalid-path behavior, but that is a minor omission given the tool's simplicity.

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 already 100%, so the baseline is 3. The description substantially exceeds the schema by listing supported path patterns (/faq, /ratgeber/:slug, /tasse/:slug, etc.) and concrete examples, giving the agent much stronger guidance on valid path values than the generic 'Path starting with /' schema note.

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 clear resource (LivaGlow page) and output format (Markdown), so an agent knows exactly what the tool returns. It does not explicitly distinguish itself from siblings like search_faq or search_guides, leaving a small ambiguity about when full-page retrieval is preferable to search.

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 supported path list and examples imply the scope of valid use, which is helpful context. However, there is no explicit guidance on when to choose this tool over sibling alternatives such as search_guides or search_faq, so usage selection remains largely inferred.

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, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds useful scope information (Germany-only shipping, fixed prices) but says nothing about staleness, caching, or how the fact sheet is structured beyond the topic 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 front-loaded sentence with no filler, and the product identity is stated before the content list. The long comma-separated enumeration is dense but every item is informative, so it earns its length.

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, no output schema, and full annotation coverage, the description's enumeration of returned topic areas is the main thing an agent needs, and it supplies that. A brief note on how it relates to the narrower siblings would make it 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 takes no parameters, so the baseline of 4 applies; there is nothing for the description to clarify or compensate for on this dimension.

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 enumerates the concrete content the tool returns (specs, fixed prices, volume discount, shipping, delivery, returns, photo requirements, URLs) for a named shop and product, so an agent knows exactly what it gets. It is not a tautology, but it does not differentiate itself from siblings like get_delivery_estimate, get_care_and_safety, or calculate_price, which cover overlapping topics.

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 the many siblings whose subject matter overlaps (delivery, care/safety, pricing). The agent must infer that this is the broad orientation call rather than the specific one, with no exclusions or ordering advice 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?

The annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is fully covered. The description adds useful substance on the read side by specifying the returned fields (TrustScore, review count, profile URL), but says nothing about freshness, caching, or behavior when the shop has no reviews. With annotations carrying the behavioral load, a 3 is appropriate.

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 resource ('Current Trustpilot rating of the shop') and appends the returned fields in parentheses. Nothing is redundant or padded.

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 rich annotations, the description's main remaining job is to sketch the return value, which it does by naming TrustScore, review count and profile URL. It lacks any tie-breaker against get_shop_overview, which keeps it from a 5.

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 semantics for the description to carry. This is the baseline 4 for a no-argument tool; the sentence correctly implies no input 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+resource ('Current Trustpilot rating of the shop') and enumerates exactly what is returned (TrustScore, review count, profile URL). It does not explicitly distinguish itself from the nearby sibling get_shop_overview, which is the only plausible overlap, so it falls 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?

The description says what the tool returns but never says when to reach for it versus get_shop_overview or get_care_and_safety. No conditions, exclusions, or alternatives are given, leaving the agent to infer usage entirely from the 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?

Annotations already declare this a safe, idempotent, closed-world read (readOnlyHint, idempotentHint, destructiveHint=false), so safety is covered. The description adds content-level context (German/English URLs, a designer deep link that preselects templates), which is useful, but says nothing about return format, pagination, or ordering.

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?

It is a single front-loaded sentence that leads with the resource and then packs the template examples and returned artifacts efficiently. The parenthetical enumeration makes it dense but every element 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?

With no output schema, the description does part of the work by describing what is returned (URLs in two languages and the deep link). For a 0-param listing tool whose annotations already cover the safety profile, this is close to complete, though the exact response shape remains unspecified.

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 no parameter semantics to clarify, and the description correctly does not invent any.

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 (occasion landing pages) and enumerates the concrete templates it exposes (photo mug, birthday, couples, pet, Mother's Day, Christmas), so an agent knows exactly what this tool returns. It does not, however, explicitly differentiate itself from related siblings like get_design_options or create_design_link despite the shared 'designer deep link' concept.

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 catalog description suggests the tool is for browsing occasion-based template pages, but there is no statement of when to prefer it over create_design_link or get_design_options. No exclusions or prerequisites 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, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds that results are ranked best-matching questions returned with full answers and that content is German, which is genuinely useful context; it says nothing about result limits or pagination.

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 compact sentences; scope and language come first, then the return shape. The parenthetical topic list is dense but earns its place by signaling coverage. Slight awkwardness around the '(German)' placement.

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 read-only search with no output schema, the description covers scope, language, and return shape adequately. It falls short only on guidance for choosing between this tool and topic-specific siblings like get_care_and_safety and search_guides.

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 there is only one parameter, so the schema already documents 'query' including that it accepts German or English. The description adds no syntax or formatting guidance beyond the schema, 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 (keyword search) and resource (shop FAQ plus occasion-page FAQs) and enumerates covered topics. It distinguishes the general FAQ search from topic-specific siblings like get_care_and_safety and search_guides, though it doesn't explicitly route to them.

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?

Implied usage: an agent can infer this is for answering FAQ-style questions, and the topic list hints at coverage boundaries. But there is no explicit when-to-use vs. siblings (e.g., get_care_and_safety or search_guides) or when-not-to-use statement.

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, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds value beyond them by disclosing the corpus language (German) and the shape of the return payload (title, direct answer, URL). It does not mention result counts, truncation, or what happens when no article matches.

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 with zero waste: the purpose and topic scope come first, the return shape second. Nothing repeats the name, title, or schema.

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?

No output schema exists, yet the description covers the return fields, which is the main gap it needed to close for a read-only search tool. Remaining omissions (pagination, empty-result behavior, query formatting) are minor for a single-parameter lookup.

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 'query' parameter, so the description is the only place semantics can come from. The topic enumeration hints at what to query for, but nothing addresses query format, language, natural-language vs keyword, or the 2-200 character bounds. Partially compensating, with clear gaps.

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 ('Find'), a specific resource ('LivaGlow guide articles'), and enumerates the covered topics (dishwasher safety, porcelain vs ceramic, photo resolution, printing costs, durability, gift ideas). An agent can distinguish it from search_faq and calculate_price by subject matter. It stops short of explicitly naming the sibling it replaces, so it is clear but not fully differentiated.

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 by the topic list (look here for advisory content about printed mugs), but there is no explicit when-to-use or when-not-to-use guidance and no mention of the nearest alternative, search_faq, even though the two overlap in intent. Adequate but leaves routing to inference.

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