Das Landhaus Apartments Prägant

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

Beyond the annotations, the description discloses that nothing is booked or reserved, no personal data is involved, the data is live from the booking system, typical latency is 1-2 seconds, identical requests are cached for 90 seconds and invalid input returns isError with a reason. It also summarizes the return shape and includes alternatives, group planning, terms, offers and booking links.

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

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

The description is long but appropriately structured for a complex booking-availability tool. It is front-loaded with the core purpose, then covers exclusions, visual rendering, behaviour and return content in distinct, skimmable sentences.

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

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

Given the tool's complexity and the presence of an output schema, the description is complete enough for correct invocation. It covers purpose, required guest inputs, exclusions, alternatives, group handling, performance, caching, error behaviour and the main structured return fields.

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 schema already documents all five parameters thoroughly. The description adds useful operational meaning by emphasizing that dates, adult count and all children's ages must be requested from the guest and never assumed, which goes beyond the schema's field-level descriptions.

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: checking live availability and exact prices for concrete dates and a party. It clearly distinguishes itself from siblings by naming get_rates and get_apartment_details as not-for cases and render_availability_card as the visual follow-up.

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 explicitly says to use this whenever a guest names dates and calls it the main tool. It gives a clear exclusion for month-level prices and apartment descriptions, and instructs the agent to collect dates, adults and children's ages before calling.

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 and destructiveHint=false, but the description adds valuable operational context: facts are synced hourly from praegant.net, answers are returned in milliseconds, Studio #17 is only listed when asked for by number and marked bookable on request, and unknown numbers return the list of existing apartment numbers.

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

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

The description is front-loaded with purpose, then moves efficiently through use cases, alternatives, special-case handling, visual equivalent, behavioral guarantees, return shape, and unknown-number behavior. It is dense but every sentence supplies routing or behavioral value.

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 fully explained, yet the description still summarizes structuredContent.apartments and covers data freshness, latency, alternatives, and edge cases. For a two-parameter read-only lookup tool, nothing important 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 structured parameter descriptions already do most of the work. The description still adds meaning beyond the schema by explaining 'all' vs '#17' behavior and the unknown-number fallback, though it does not add much about the 'language' parameter beyond what the schema already states.

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 ('Describe') and resource ('apartments'), enumerates the returned facts (size, bedrooms, max guests, description, page link), and explicitly distinguishes itself from check_availability, get_rates, and render_apartment_gallery. An agent can tell exactly what this tool does and which sibling to use for prices or visuals.

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?

Provides concrete example questions ('how big is #16?', 'which apartments fit 5 people?'), states it contains no prices or availability, and routes date/price questions to check_availability and month overviews to get_rates. It also calls out the Studio #17 on-request-only exception, leaving little 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 declare readOnlyHint=true and destructiveHint=false, but the description goes further: it explicitly disclaims booking, reserving and payment ('this connector never books, reserves or takes payment by design'), notes that no availability check occurs, that the operation is instant, and enumerates the returned fields. This is exactly the context annotations cannot express.

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 purpose sentence, then usage, then behavior. Every sentence carries information, though the optional-dates caveat is stated twice (once in prose, once in the schema), a minor redundancy.

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

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

An output schema exists, yet the description still names the key return fields; combined with the explicit no-booking disclaimer and the read-only/instant behavior note, an agent has everything needed to call this correctly instead of a heavier sibling.

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 all six parameters are already documented in detail, including the empty-date fallback behavior. The description adds the grouping 'dates, party and apartment' and restates that dates are optional in YYYY-MM-DD, which largely duplicates the schema. 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: 'Build a direct booking link on praegant.net, optionally pre-filled with dates, party and apartment.' Scope and output are unambiguous, and the sibling distinction from check_availability is made explicit in the same description.

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 both when-to-use ('guest has decided and just wants the link, or wants to book without a price check') and when-not ('call this only when no availability result is at hand'), and names the alternative sibling check_availability with the reason it already supersedes this tool.

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/destructive, yet the description still adds real context beyond them: offers are 'as published on the website (synced hourly, expired ones removed)', which tells the agent about freshness and why an offer may be missing. It also discloses the return shape (text plus structuredContent.offers). Not a 5 only because it restates 'read-only' redundantly and says nothing about what happens when no offers are published.

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, then usage, then routing, then behaviour, then returns — each line carries distinct information with no filler. Dense but every sentence 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?

Covers selection criteria, sibling routing, freshness semantics and returned fields, which is more than enough for a zero-required-param list tool. Minor gap: no indication of behaviour when nothing is currently published (empty list vs. error), which matters slightly more here than a normal read since the description itself mentions expiry pruning.

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?

Only one optional parameter and its schema description already covers the 'de'/'en' default and the text/card language consistency at 100% coverage. The tool description itself adds no parameter guidance, so the baseline 3 applies rather than a higher score.

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?

Specific verb + resource ('List all current seasonal offers and packages') with the source named (praegant.net). It explicitly differentiates itself from two siblings by name, check_availability for date-scoped use and render_offers_card for the visual variant.

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 the triggering condition ('guest asks about deals, packages or what is special in a season, independent of dates') and the exclusion ('when the guest already has dates, check_availability... no need to call both'). The visual alternative render_offers_card is also named, so routing is fully determined.

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 read-only safety profile, and the description adds genuinely new context: the data is live from the booking system, takes about 1-2 s, is cached 5 minutes, and returns both text and structuredContent with named sections (apartments, periods, weeks, perks, offers). That is meaningful operational context beyond the annotations.

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 core purpose, then use cases, then the exclusion and alternative, then behaviour and latency. Every sentence carries information the agent would otherwise lack; 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 read-only lookup with a full schema and an output schema, the description covers purpose, selection criteria, alternatives, return shape, and latency/caching. Nothing needed to 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% and each parameter already carries format examples ('2027-07', 'July', '8,15'), the deprecated-alias note, and the children/tourist-tax rule. The description adds no parameter-level 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 ('get the price level of each apartment for a whole month plus that month's booking rules') and pins down exactly what is returned (lowest total price of a reference stay, arrival days, minimum stay, closures). This is clearly distinguishable from check_availability (exact dates) and render_rates_card (visual version).

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?

Explicit when-to-use with concrete guest utterances ("what does a week in July cost?"), an explicit when-not ('Not for exact prices on specific dates — use check_availability for that'), and a stated alternative for the visual variant (render_rates_card with the same arguments). Nothing is left to inference.

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

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

The annotations already declare read-only, non-destructive, closed-world behavior, and the description adds substantial context beyond that: static curated content, no web search, instant response, photo behavior for 'house' and 'wellness', and the shape of returned text plus structuredContent. These details are consistent with the annotations and materially help invocation.

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

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

The description is front-loaded with purpose and usage, then proceeds to behavior and return details, so an agent can stop reading early if needed. It is somewhat long due to the full topic inventory, but the detail is mostly useful rather than redundant.

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

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

Given the annotations, output schema, and sibling tools, the description is complete enough to call correctly. It covers when to use it, when not to, photo rendering behavior, and what the response contains, leaving no major gaps for an agent.

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 meaningful topic semantics by explaining what categories like house services, skiing, wellness, golf, and arrival cover. It does not describe the language parameter, but the schema already handles that fully.

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: returning curated information about Bad Kleinkirchheim and the house for a topic. It explicitly distinguishes itself from sibling tools check_availability and get_apartment_details, so an agent can select it without opening other schemas.

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 names concrete use cases such as 'what can we do there?' and house questions, then explicitly excludes prices/availability and apartment facts while pointing to the correct alternatives. It also gives a specific workflow for showing house photos via render_house_photos rather than a web image search.

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/openWorldHint/destructiveHint, yet the description still adds real context: no prices are shown, arguments and result mirror get_apartment_details, and the card is pre-populated with official photos so external images must not be injected. It stops short of describing failure modes or what happens for unlisted apartments, so it is strong but not exhaustive.

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, then differentiation, then constraint — a logical order with no filler. The 'read-only' restatement duplicates the annotations and the 'Prägant' parenthetical is dense, but both still serve a purpose.

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

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

With an output schema present, return values need not be documented, yet the description still summarizes the card contents and buttons. For a zero-required-parameter rendering tool with full schema coverage and annotations, nothing an agent needs in order 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 description coverage is 100%, so both parameters (name, language) are already fully documented, including the 'all'/empty and '17' cases; baseline 3 applies. The description adds only that the name selection maps to different photo counts per branch, which is marginal beyond 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 concrete verb and resource ('show one or all apartments with photos as an interactive gallery card in the chat') and explicitly distinguishes itself from the sibling get_apartment_details. The per-branch rendering difference (one apartment = up to 3 swipeable photos; all = one photo each with action buttons) makes the tool's identity 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?

Explicitly names the alternative and the selection condition: 'Use instead of get_apartment_details when the guest wants to see the apartments.' It also gives a negative instruction (do not source images from web search, since other rentals share the 'Prägant' name), which is a genuine when-not rule rather than vague context.

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 read-only/non-destructive/closed-world, yet the description still adds substantive context: behaviour and arguments are identical to check_availability, the data is live, nothing gets booked, and the result is enriched with small photos and the Google rating while returning the same text and structuredContent. That is exactly the kind of beyond-annotation disclosure that helps an agent predict the call's effect.

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 action, then the routing rule, then behavioural equivalence. Every sentence carries information about either purpose, selection, or return content; it is slightly dense in the final sentence but not 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?

An output schema exists, so return values need not be spelled out, yet the description still summarises the enrichment and confirms text/structuredContent parity. For a read-only render tool with fully documented params, nothing an agent needs in order to 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 coverage is 100% and every parameter is well documented in the schema itself, so the baseline is 3. The description adds a cross-reference value the schema cannot — that arguments are identical to check_availability — which lets an agent reuse known argument semantics, though it adds no detail on individual fields.

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: render the availability result as an interactive card in the chat, with the exact interactive elements enumerated (photos, expandable price breakdown, per-apartment booking button, tappable alternative dates). It is explicitly distinguished from the closest sibling, check_availability, rather than being confused with it.

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 both branches of the routing decision: use this after check_availability (or instead of it) when the guest wants to SEE options, and use check_availability alone when only reasoning over data or when the client cannot display cards. That is an explicit when/when-not plus the named alternative.

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, and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral context by saying the result is an interactive card and that it behaves like get_region_info for the topic plus photos. It does not discuss empty results or output details, but the output schema exists.

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

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

The description is front-loaded with the core action, followed by usage guidance and a useful comparison to avoid a bad web-search fallback. Every sentence adds value, and there is no redundant padding.

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 low-complexity, two-parameter read-only tool with full schema coverage and an output schema, the description is largely complete: it explains what is shown, when to use it, and how it relates to get_region_info. The main gap is that it does not address the nearby render_apartment_gallery sibling, which could matter for disambiguation.

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 both the topic and language parameters are already documented in the schema. The description reinforces the house/wellness/outside topic scope but adds no syntax or format details beyond what the schema provides, making the baseline 3 appropriate.

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

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

The description states a specific verb and resource: showing the property's official house photos as an interactive chat card. It distinguishes the tool from web image search and clarifies its relationship to get_region_info, but does not explicitly differentiate it from the sibling render_apartment_gallery.

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 trigger: when the guest wants to SEE the house, sauna/wellness area, or building exterior, rather than using a web image search. It also names get_region_info as a comparable tool, but it does not explicitly state when to prefer render_apartment_gallery instead.

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 and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful context by asserting behavioural and result parity with get_offers plus one photo per offer, which lets the agent reason about output shape. It does not say whether the card replaces a previously rendered card or how interaction is handled, which keeps it below 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?

Two short sentences with zero waste; the equivalence to get_offers and the visual differentiator are front-loaded ahead of any alternative-routing language.

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

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

This is a low-complexity, zero-required-parameter render tool with a fully documented schema and an output schema, so the description need not explain return values. Nothing an agent needs in order to choose and 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% and the single language parameter is fully documented in the schema, including the de/en options, default, and the requirement that text and card share a language. The description adds no parameter meaning beyond that, so the 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: show the current website offers as an interactive card with photos and links. It also explicitly distinguishes itself from the sibling get_offers by describing the added value (photos) and card form, so an agent can tell the two apart 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 an explicit selection rule: use instead of get_offers when the guest wants to browse offers visually. The alternative is named and the condition that selects it is stated, leaving nothing 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 declare readOnlyHint/openWorldHint=false, and the description reinforces them while adding genuinely new context: the data is live, the card is interactive with tappable apartment lines, and behaviour/result are identical to get_rates. It stops short of noting any fallback when a client cannot render cards, which is the one behavioral gap left.

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 short paragraphs, the primary purpose front-loaded in the first sentence, and the routing rule in the second. No filler; every clause either states the purpose, the alternative, or the behavioural equivalence.

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 and full parameter documentation mean the description needn't explain return values, and annotations cover the safety profile. It is nearly complete for a 5-param rendering tool; only an edge case such as non-card-capable clients is unaddressed.

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%, including formats for month, the children age semantics, and the deprecated guests alias, so the schema does the heavy lifting. The description only adds the cross-reference 'same arguments as get_rates', which is a convenience pointer rather than new parameter meaning.

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 ('Show a month's prices and booking rules as an interactive card') and immediately delimits it from the sibling get_rates. An agent can tell the rendering tool apart from the data tool without opening either 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?

Explicitly names the alternative and the condition that selects it: use this when the guest wants the overview with tappable apartment lines, use get_rates when only the data is needed. Both the when and the when-not are stated.

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