US BIKE TRAVEL

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

With no annotations, the description carries the behavioral disclosure burden and does disclose the comparison methodology: fair comparison across Leistungen, Add-ons, Gruppengroesse, Selbstbeteiligung, Schwierigkeitsgrad, and the explicit rule never to compare only by price. It does not discuss output format or side effects, but for a comparison tool these are less critical.

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 well-structured German sentence that front-loads the action and cardinality, then details the comparison criteria, with no redundant 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 simple tool with one array parameter and no output schema, the description covers what it compares, how many tours, and the core comparison basis. It does not explain the return value or where tour IDs come from, but siblings like search_touren supply that context and complexity is low.

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 0%, so the description must compensate. It conveys that up to 4 tours (min 2) are compared and what dimensions are used, but it never explicitly states that the ids array contains tour identifiers or how invalid/nonexistent IDs are handled. Useful but not fully compensating for the coverage gap.

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 action (Vergleicht), the resource (Touren), the allowed cardinality (2 bis 4), and the comparison dimensions, and distinguishes itself from price-only tools with 'niemals nur anhand des Preises'. This makes it clear what the tool does and how it differs from sibling tools.

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 gives a clear usage context: use it to compare 2-4 tours based on the full service package rather than price alone. It does not explicitly name alternative sibling tools or scenarios where they should be preferred, but the price-only exclusion provides useful triage 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?

No annotations are provided, so the description carries the behavioral transparency burden. It does disclose the core behavior: it returns a tour page URL and a contact path, and the 'Liefert' verb implies a read-only retrieval operation. It does not cover failure modes, validation, or the exact nature of the contact route, but for a simple retrieval tool it is adequate.

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

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

The description is a single concise sentence that front-loads the main deliverable (the correct tour page URL) before mentioning the secondary contact path. There is no filler or redundant content.

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 retrieval tool, the description covers the core purpose and output reasonably well. However, with no annotations, no output schema, and no explicit parameter explanation, the id parameter is left implicit and sibling differentiation is not directly addressed. It is minimally viable but has clear gaps.

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 schema has one required 'id' string parameter with 0% schema description coverage, and the tool description never directly explains that 'id' is the tour ID. The phrase 'zu einer konkreten Tour' indirectly implies the id identifies a tour, but the parameter semantics remain under-specified.

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

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

The description uses a specific verb ('Liefert') and names the exact resources: the correct tour page URL and a general contact route for the next steps of an inquiry. It is clearly distinct from sibling tools such as search_touren, get_tour_details, get_termine_preise, and compare_touren.

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 provides a clear usage context: the tool is meant for the next steps or inquiry stage for a specific tour, which helps an agent select it over search or comparison tools. However, it does not explicitly name alternatives or state when not to use it.

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

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

No annotations are provided, so the description carries the full burden. It transparently reveals that the response may contain notices like 'in Planung', 'auf Anfrage', or 'kein Termin ausgeschrieben', and uses a non-mutating verb, but it does not state side-effect-free behavior, error handling, or permissions.

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, front-loaded with the action and resource, with every clause carrying meaning. No filler.

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

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

For a one-parameter read tool without an output schema, the description covers what is returned (dates, statuses, prices, conditional notices) and the resource. It is slightly incomplete only in not specifying the response structure or behavior for an unknown tour ID.

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

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

Schema coverage is 0% and the only parameter is a bare string 'id'. The description adds some meaning by tying the ID to 'einer Tour', suggesting it is a tour identifier, but it does not explicitly define the ID format or domain beyond that.

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

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

The description uses a specific retrieval verb ('Liefert') and names a precise resource: all current appointments, their status and prices for a tour, including conditional notes. This clearly separates it from sibling tools like search_touren or compare_touren, which have different purposes.

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 implies this is the tool for tour date and price inquiries, but it gives no explicit 'when to use' conditions, exclusions, or references to alternatives among the siblings. An agent must infer the boundary from the tool name and description.

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

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It transparently describes what data is returned and explicitly blocks misinterpretation as a price/duration feed. However, it does not mention read-only semantics, error behavior, permissions, rate limits, or what happens for invalid tour IDs, which are relevant operational traits.

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

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

The description is a single, well-structured sentence that front-loads the main purpose and then uses a colon-separated list to convey a rich set of output fields. The closing clarification 'Kein reiner Preis-/Dauer-Feed' is useful and non-redundant. It is slightly dense but every part contributes 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?

Given one required parameter, no annotations, and no output schema, the description does the necessary work of explaining the return contents in enough detail for an agent to decide and invoke the tool. It covers the major content categories and clarifies scope. Minor gaps such as response status or missing field-level details are acceptable for a simple detail-retrieval tool.

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

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

The input schema already describes the sole 'id' parameter as 'Technische Tour-ID, z.B. aus search_touren' with 100% coverage. The tool description itself adds no additional parameter detail, 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?

The description uses a specific verb and object—'Liefert das vollstaendige Leistungspaket einer Tour'—and enumerates concrete content types such as Highlights, USPs, inkludierte/nicht inkludierte Leistungen, Add-ons, Gruppengroesse, Schwierigkeitsgrad, and insurance information. It also distinguishes itself from a pure price/duration feed, which helps differentiate it from siblings like get_termine_preise.

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 gives an implied usage boundary with 'Kein reiner Preis-/Dauer-Feed', signaling it is not the tool for price/duration-only queries, but it never names an alternative or states a positive 'use this when...' rule. The sibling tools are not referenced explicitly, so guidance for choosing among them 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?

With no annotations, the description carries the behavioral burden and does disclose that the tool returns a compact overview with highlight keywords, price if available, and deductible short info. It also signals that this tool is deliberately not the full-details endpoint. Minor gaps like result ordering or behavior when no criteria match are not covered, but these are not critical for a search tool.

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

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

The description is a single, compact sentence that front-loads the search action and criteria, then summarizes the return content and points to the relevant sibling. Every part earns its place with no filler or repetition.

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

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

For a search tool with five optional parameters and no output schema, the description provides enough information to select and invoke it correctly, including what the result will look like and where to go for full details. It does not discuss interaction with compare_touren or get_termine_preise, but that is not essential for a correct call to this tool.

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

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

Only 20% of parameters are described in the schema, but the description names all five filtering dimensions: region/experience, travel type, travel month, maximum duration, and maximum difficulty. This maps well to the actual parameters and largely compensates for the sparse schema, though it does not explain the enum values or difficulty scale beyond what the schema constraints already imply.

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: it finds matching US BIKE TRAVEL motorcycle tours based on customer wishes. It also explicitly differentiates itself from get_tour_details, making it clear that this is the search/list entry point rather than a details endpoint.

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 explicitly tells the agent to use get_tour_details for complete details, which is a clear alternative and a useful when-to-use/not-use signal. However, it does not mention the other siblings like compare_touren or get_termine_preise, so coverage of the full sibling landscape is incomplete.

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