VoyageHacks

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

Annotations already cover the safe-read profile (readOnly, idempotent, non-destructive, openWorld), but the description adds real behavioral detail beyond them: the needsInput fallback when month or trip type is missing, the exact output contents, and the affiliate-commission disclosure obligation. It stops short of describing pagination or link-failure behavior.

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 front-loaded and the important constraints (needsInput, no live prices, affiliate disclosure) earn their place, but at roughly 190 words it is wordier than needed: the packing-picks sentence and the enumeration of every link type could be tightened without losing signal.

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 restating, and the description still covers source scope, the needsInput fallback, what each answer carries (temperature, reasons, guide, links, packing picks), and the affiliate disclosure. Nothing an agent needs to invoke it 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 coverage is 100%, so the baseline is 3, but the description earns the extra point by naming the five semantic inputs and by clarifying that month and trip_type are effectively required (absent them it returns needsInput) even though the schema marks zero required parameters. Budget, traveler and origin meanings are already fully in the 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?

States a specific verb+resource: it suggests three destinations from five trip answers, sourced only from VoyageHacks' own month guides and travel-style lists. It is immediately distinguishable from siblings like get_booking_links or search_articles, which it explicitly does not duplicate (it returns links but does not book or show live prices).

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?

"Useful when a user asks where to go, for holiday ideas for a month, or for a destination that suits a family, a couple or a budget" gives clear triggering contexts, and the note that it does not return live prices or book implies routing to the booking-link siblings. However no sibling alternative is named explicitly, so the routing is left partly 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?

Annotations already establish readOnly, idempotent, open-world, non-destructive behavior, and the description adds genuine value beyond them: results are booking pages rather than live quotes, links are affiliate links, and the agent is told to disclose commission to the traveler. It doesn't describe pagination or response shape, but the output schema covers returns.

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?

Front-loaded with the primary purpose and outcome, then usage triggers, then scope exclusions and the disclosure obligation. Four sentences with no filler, though the provider enumeration could be trimmed.

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 4-parameter, fully-documented, output-schema-backed read tool, the description covers purpose, trigger conditions, output boundaries, and the affiliate disclosure duty. Nothing an agent needs in order to select or call it 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 city, airport, lang and country are already well documented with formats, defaults and examples. The description adds no parameter-level meaning beyond noting that guides are language-specific, which the schema already conveys; baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Return pre-booked airport transfer links'), names the exact providers (Booking.com Taxis, Kiwitaxi, Welcome Pickups, GetTransfer) and the supplementary guides, and clearly separates it from sibling link tools like get_flight_links or get_hotel_links.

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?

Explicitly states when the tool is useful ('user asks how to get from an airport, about taxi or transfer prices, or plans a late-night arrival') and rules out adjacent needs ('no live quotes, no public transport timetables, no ride-hailing dispatch'). It does not name a sibling to use for those excluded cases, so routing alternatives are implied rather than stated.

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/openWorld/non-destructive, and the description adds substantial behavioral context on top: the tool is restricted to HTML pages on voyagehacks.com, cannot fetch other sites, data files or images, and truncates very long pages with a marker at the cut. The truncation disclosure is exactly the kind of caveat an agent needs before trusting a complete-text read.

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?

Front-loads the action and return shape in the first sentence, then adds usage rationale and limits. Three sentences with little waste, though enumerating return fields is partly redundant given an output schema exists.

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 annotations and an output schema, the description covers everything needed: what it returns, what it cannot reach, and how oversized pages behave. Nothing an agent must know before invoking it 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?

There is a single parameter with 100% schema description coverage, including an example of both accepted forms (full URL and site path). The description restates the URL-or-path duality but adds no syntax, encoding or constraint detail beyond the schema, so the baseline of 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 (Fetch) and resource (one VoyageHacks page by URL or site path) and enumerates the returned fields (body as Markdown, title, canonical URL, language, section, dates). This is clearly distinguishable from sibling search_articles, which would find pages rather than read 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?

Gives concrete usage contexts: when full text is needed to quote figures accurately, and when a source must be cited with a real date. It does not explicitly name search_articles as the alternative for discovery, so routing guidance is implied rather than stated.

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, openWorld, non-destructive), yet the description adds genuinely non-obvious behavior: it returns search links only — no live prices, no availability, no booking — and that the links are affiliate links carrying a commission that must be disclosed when presented. That disclosure obligation is nowhere in the structured fields and materially changes how an agent should present results.

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?

Front-loaded with purpose, inputs, the include filter, the use case, the limitation, and the required affiliate disclosure — every sentence carries content. The opening sentence is slightly overloaded with a long category enumeration, but the overall structure is efficient for a 9-parameter aggregator.

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 a rich output schema (return values need not be described) and annotations covering safety, the description supplies what remains: input expectations (IATA codes, city, dates), the include filter's behavior, the hard limitation that no live prices or booking occur, and the mandatory affiliate disclosure. Nothing an agent needs to call or present this 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 coverage is 100%, so the baseline is 3. The description goes further by explaining the coupling between parameters — route IATA codes plus city plus trip dates cause the flight and hotel links to be prefilled, and the "include" array selects categories (with an example of omitting car_rental for a non-driving trip). That explains intent and cross-parameter effects the schema only documents individually.

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 ("Return one set of booking and shopping links covering a whole trip in a single call") and enumerates the categories covered, so the agent can distinguish it from the single-category siblings like get_flight_links and get_hotel_links without opening a schema. Scope (whole trip, one call) is front-loaded and 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?

"Useful when a user is planning a trip end to end and wants every option in one place" gives clear context, and "in a single call" implies the alternative is calling the per-category siblings separately. However, it never explicitly names those alternatives or states when NOT to use this (e.g. when only one category is needed), so the routing guidance is inferred rather than stated.

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?

Goes well beyond the annotations (readOnly/idempotent/openWorld/non-destructive) by disclosing that these are comparison landing pages with no live quotes, no availability and no reservation, that dates are echoed rather than embedded, and that links are affiliate links requiring disclosure. These are exactly the behavioral caveats an agent needs but cannot infer from structured fields.

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?

Front-loaded with the return value and provider list, then usage, then caveats. Every sentence carries information (providers, triggers, echo behavior, no-quotes disclaimer, affiliate disclosure), though the provider enumeration is dense and slightly prose-heavy.

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 described; the description still covers scope, trigger conditions, provider coverage, no-live-quote limitations and affiliate obligations. Nothing an agent needs to call and present results 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 baseline is 3, but the description adds genuinely new semantics: pickup_date and dropoff_date are echoed for context rather than used to build the links. It does not clarify lang/country interaction beyond what the schema already says, so it is not a 5.

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 ('Return car and scooter rental comparison links for a destination') and enumerates the exact providers returned, so an agent can distinguish it from get_flight_links, get_hotel_links, or get_airport_transfer_links without opening a schema.

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 concrete triggering situations ('renting a car, a road trip, driving abroad, or an island or countryside trip that needs a vehicle'), which is clear when-to-use context. It stops short of naming an alternative tool or stating when NOT to call it, so it falls short of a 5.

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, openWorld), and the description adds real behavioural context on top: it is Amex-only, not an eligibility or approval tool, figures are verified against americanexpress.com and go stale, and the links are plain issuer pages rather than affiliate or referral links. Those are exactly the caveats an agent needs when relaying financial information to a user.

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 front-loaded correctly: what is returned first, then when to use it, then the caveats and limits. The first sentence is dense with parenthetical lists, but every sentence carries distinct information and nothing is padded or 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?

Given a read-only link-fetching tool with a full output schema and 100% parameter coverage, the description covers everything an agent needs: scope, triggers, exclusions, freshness/attribution caveats and the non-affiliate nature of the links. No return-value documentation is needed because an output schema exists.

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 enums are self-documenting, so the baseline is 3. The description adds only marginal parameter value – it enumerates the card names and the limit of four guides – and says nothing about what `country` does beyond what the schema already states (Booking.com regional programme).

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 concrete resource set (official Amex Germany card pages for Platinum, Gold, Amex Card, Payback, Blue, plus the Revolut plans page), the verified fee and welcome-offer figures, and up to four VoyageHacks guides. This distinguishes it cleanly from the other link-returning siblings, which cover flights, hotels, cars, eSIM and VPN rather than credit cards.

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 states the triggering questions explicitly (travel rewards, points, miles, lounge access, which card to pay with abroad, foreign-transaction fees) and gives hard exclusions: not a comparison of all issuers, no eligibility or approval decision, no credit-score check, no application. It also tells the caller how to treat the output – attribute figures to the issuer page or linked guide because terms change frequently and vary by market.

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 readOnly/idempotent/openWorld/non-destructive, so the bar is lower, yet the description still adds real behavioral context: it returns store pages only, imposes an up-to-four-guides limit, and mandates disclosing the affiliate commission. It does not describe response shape or any rate/caching behavior.

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?

Front-loads what is returned before the use cases and limitations, and each sentence carries information. It is slightly dense and could be trimmed, but nothing is wasted.

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 spelled out, and the description still covers scope, exclusions, guide limit, and the affiliate-disclosure obligation. An agent has everything needed to call and present results 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 coverage is 100%, so lang and destination are fully documented in the schema (including the default of "en"). The description adds no extra meaning about destination matching (e.g. country vs. region handling) or language fallback, 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+resource (return travel eSIM store links plus VoyageHacks guides for a destination) and names the actual providers. It is clearly distinguishable from sibling tools like get_travel_vpn_links or get_flight_links by naming the eSIM domain 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?

Gives concrete triggering scenarios (mobile data abroad, SIM cards, roaming charges, staying online, tethering a laptop) and negative scope (no live prices, no handset coverage check, no purchase/activation). It does not name a sibling alternative, so it stops short of a 5.

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 annotations already declaring readOnlyHint=true and destructiveHint=false, the description adds substantial behavioral detail: IATA prefill behavior, what happens without origin and destination, regionalization of the Booking.com link, additional compensation and airline links, affiliate disclosure, and a clear boundary that no live fares, bookings, or transfers are returned.

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 main purpose and key constraints are front-loaded, and the description is structured around what is returned and what is not. It is somewhat dense and lists multiple airline-specific links, but those details are relevant to the tool's output and affiliate disclosure obligations.

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 high-complexity link-generation tool with seven optional parameters and an output schema, the description is complete enough: it explains the returned link types, the guides, regionalization behavior, limitations, and affiliate disclosure. The output schema can carry the exact return structure.

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 schema already documents all seven parameters. The description still adds useful context about origin and destination being IATA codes for a prefilled route search and about omitted dates or missing route codes affecting the generated link, though it does not elaborate on parameters like passengers or lang.

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 verb-and-resource: building Booking.com flight search links for a route with optional dates, plus VoyageHacks guides. It clearly distinguishes this from sibling link-builder tools by naming flights rather than hotels, cars, transfers, or bookings.

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 gives a clear usage condition: useful when a trip involves air travel and the user wants to compare fares. It also clarifies the main limitation (search links only, no live fares or booking), though it does not explicitly route the agent to alternatives such as get_hotel_links or get_airport_transfer_links.

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/openWorld/non-destructive, and the description adds substantial beyond-schema context: regionalization of the Booking.com link, the explicit scope limit (no rates, availability, reviews, reservation), and the affiliate-commission disclosure obligation. That affiliate disclosure requirement is a genuinely useful behavioral trait an agent must act on.

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?

Content is dense and front-loaded with the core action, and every sentence carries information. The first sentence is a long run-on listing channels, which slightly hurts scannability, but nothing is redundant with structured fields.

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 an 8-parameter, side-effect-free link generator with an output schema, the description covers scope, limits, regionalization, affiliate obligations and usage triggers. An agent has everything needed to call it correctly without opening the schema.

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 every parameter (city, lang, rooms, adults, children, checkin, checkout, country) is already documented with defaults, bounds and patterns. The description restates check-in/check-out, guest and room counts and country regionalization but adds no syntax or format detail 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 and resource ('Build a Booking.com search link for a city or property') and enumerates the exact outputs (Booking, Expedia, Vrbo, Agoda, IHG, VoyageHacks guides), which cleanly distinguishes it from siblings like get_booking_links or get_flight_links.

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 clear trigger context: 'Useful when a user asks where to stay, or about hotels, hostels or apartments in a place,' and implicitly bounds it by stating it is not for rates, availability, reviews or reservations. It does not name a sibling alternative (e.g. get_booking_links) to route between, so it stops short of a 5.

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/openWorld/idempotent and non-destructive, so the safety profile is covered. The description adds real value beyond that: it bounds expectations ('no live pricing, no server list and no account creation') and surfaces an obligation not present in any structured field (the referral commission that must be disclosed when the link is presented).

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 return contents and usage triggers are front-loaded and every sentence carries information; the only mild bloat is the run-on middle sentence listing topics. No filler or repetition of 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?

An output schema exists, so return values need not be explained, and the description still covers scope, triggers, and the disclosure caveat. Missing only edge details like whether guides are localized per the lang argument, which is otherwise handled by the schema.

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 schema fully documents the single 'lang' enum with its default, so the description adds no parameter meaning. Baseline 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?

States a specific verb and resource ('Return the NordVPN signup link together with up to four VoyageHacks guides') and enumerates the exact content topics, so the agent can distinguish it from the other get_*_links siblings without opening any schema.

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 explicit trigger conditions ('when a user raises public Wi-Fi safety, working remotely abroad, geo-blocked streaming or online banking while travelling'), which tells the agent when to reach for this tool. It does not name an alternative sibling or state when NOT to use it, so it stops short of a 5.

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 readOnly/idempotent/non-destructive/openWorld, and the description adds substantial context on top: no prices, ratings, review counts or stock are ever returned; no clothing sizes or itinerary are produced; budget does not filter products; and Amazon affiliate links require disclosure. These are exactly the behavioral traits an agent needs beyond the structured hints.

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?

Purpose is front-loaded and every sentence carries information (scope, output shape, non-returned fields, affiliate disclosure). The opening sentence is a long multi-clause run-on and some phrasing ('its Amazon ASIN and a link to the product... where it can be bought on Amazon') is mildly redundant, but 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 10-parameter, output-schema-backed tool, the description covers everything an agent must know to call and present results correctly: the free-text plus structured-hint input model, the curated-catalog limitation, the fields that are never returned, and the affiliate disclosure obligation. Return-value explanation is unnecessary given the output schema.

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. The description adds the weighting semantics ('used to weight which categories make the kit') and echoes the budget-does-not-filter caveat, but it never mentions the lang or limit parameters, so it does not materially enrich the schema on its own.

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 precise verb+resource: turning a trip description into a packing/gear kit drawn from a named, curated catalog, and specifies the output shape (one product per category with reason, ASIN, and guide link). This clearly separates it from the sibling search_travel_gear, since it explicitly says it draws on the editorial catalog 'not a search of all of Amazon.'

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 gives concrete triggering queries ('what should I pack for X', 'what gear do I need for Y', 'I only have carry-on, what should I bring') and states the editorial-catalog scope, which implicitly routes agents away from Amazon-wide search. It stops short of explicitly naming a sibling tool or stating when NOT to use it, so it is clear context without full exclusions.

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, open-world behavior, so the safety profile is covered. The description adds real context beyond that: the corpus size, that it indexes VoyageHacks content only, that it returns no live fares or availability, and that booking links live in sibling tools. It omits pagination/empty-result behavior, but the added scope disclosures are meaningful.

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?

Front-loaded with the search scope and return shape, and every sentence is purposeful (coverage, return format, ideal use case, exclusions). The long enumeration of sections duplicates the section enum in the schema and is slightly wasteful, but the overall structure is efficient and readable.

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 an output schema present, the description need not explain return values, yet it summarizes them briefly anyway. Combined with full parameter documentation and rich annotations, the definition gives an agent everything needed to decide to call this tool and 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 100%, so the schema already documents query, lang, limit and section, including defaults, enums and max length. The description adds no parameter-level detail (no syntax, operators, or matching-behavior nuance) beyond what the schema provides, 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 precise verb (full-text search) and resource (VoyageHacks travel guides) plus corpus scope (~680 published pages per language) and content coverage. It explicitly distinguishes itself from the sibling link tools ("not the wider web, not live fares... the get_..._links tools do that"), so an agent can tell it apart without opening another schema.

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?

Names the conditions that select it ("when a travel question needs published prices, comparisons, best-time-to-visit advice or step-by-step detail that can be attributed to a source URL") and the conditions that should route elsewhere (live fares, hotel availability, booking/product links via the get_..._links tools). This is explicit when-to-use and when-not-to-use 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?

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint), yet the description adds substantial context beyond them: exactly what each result contains (name, category, published pick reason, ASIN, guide link), what is never returned (prices, star ratings, review counts, stock), and a mandatory affiliate-disclosure obligation when presenting results.

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?

Front-loaded with the catalog scope, then results, then caveats, then the affiliate note — a sensible ordering with no filler sentences. The long enumeration of product categories (carry-on backpacks through camping gear) is somewhat bloated and could be trimmed, but it does communicate query coverage.

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 three-parameter, read-only search with full schema coverage, open-world annotations and an output schema, the description covers everything an agent needs: catalog scope, when to invoke, what is returned, what is unavailable, and the disclosure requirement. Return fields are restated despite the output schema, which is mild redundancy rather than a 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 description coverage is 100%, so the schema already documents query, limit (1-12, default 6) and lang (enum with default). The description adds no parameter-level guidance of its own — its example queries and result-field list duplicate what the schema conveys. Baseline 3 applies when the schema does the heavy lifting.

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 ('Search the VoyageHacks travel gear catalog') and pins the scope precisely: ~320 products from ~50 published guides, with product categories enumerated. It explicitly distinguishes itself from an all-of-Amazon search, but never mentions the sibling tool recommend_travel_gear, which is the most plausible confusion point for an agent choosing between the two.

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 a clear trigger: 'Useful when a user asks which travel product to buy, or what to pack for a trip and names a category or a destination.' It also states an exclusion in the form of scope limits (products outside the published guides are not findable, no prices/ratings/stock). What is missing is an explicit alternative — recommend_travel_gear is not named as the tool to use when a specific query is not appropriate.

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