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

Without annotations, the description accurately conveys the tool's behavior: it is read-only and reports layover details. However, it omits details such as how risk level is defined or any dependencies on external data, which could affect agent expectations.

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 two sentences, front-loading the tool's purpose and immediately listing the outputs. Every word contributes to understanding without 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?

Given the tool's complexity (5 parameters, no output schema), the description adequately explains the return values (connection time, risk level, aircraft details). However, it does not mention how maxResults or cabinClass affect results, leaving some ambiguity about output volume and scope.

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 description does not add meaning to the parameters beyond what is in the schema. With 60% schema description coverage (origin, destination, departureDate have descriptions; cabinClass and maxResults do not), the description fails to clarify the role of these parameters in the analysis, earning a baseline 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?

The description clearly states the tool analyzes layover quality for connecting flights, and reports connection time, risk level, and aircraft details. This distinguishes it from sibling tools like search_flights or get_price_history, which cover different aspects of flight information.

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 no guidance on when to use this tool versus alternatives. It does not specify prerequisites or scenarios where this tool should be preferred, leaving the agent to infer its use case solely from the tool name and purpose.

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 provided, the description must bear full burden for behavioral disclosure. It only states it 'compares prices' with no mention of side effects, permissions, or data freshness. As a read-only tool, it lacks explicit safety guarantees. The description is too sparse.

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

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

Single sentence, no fluff. Every word adds value: verb, resource, scope ('same route in one call'). Easily scannable.

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

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

No output schema and no description of return values. The description minimally covers the tool's purpose but lacks detail on what the response contains (e.g., price for each class, currency, provider). For a tool that is likely used in decision-making, this is 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 80% (covers origin, destination, departureDate, maxStops, adults). The description adds meaning beyond schema by specifying the cabin classes compared (economy, premium economy, business, first class), which is not in the schema. This helps the agent understand the tool's specific output.

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 'Compare' and clearly identifies the resource: prices across multiple cabin classes (economy, premium economy, business, first class) for the same route in one call. This distinguishes it from sibling tools like search_flights, which likely handles a single cabin class.

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

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

No explicit guidance on when to use this tool versus siblings like search_flights, get_price_insights, or get_calendar_heatmap. The description implies it's for comparing multiple classes at once, but does not state when NOT to use it or provide alternatives.

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, and the description fails to disclose behavioral traits such as output format, ordering, possible limitations, or any side effects. The description is too brief to compensate for the missing 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?

The description is extremely concise with two sentences, front-loading the core purpose and following with a use case. Every word earns its place with no 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?

Given the simple tool with 2 parameters and no output schema, the description provides the essential purpose but omits details about the return format (e.g., list of codes or objects with distances) and any additional context needed for an agent to use the results effectively.

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 both parameters. The description adds marginal value by repeating the concept of radius but does not clarify parameter formats or constraints beyond what the schema provides.

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 clearly states the action ('Find alternative airports') and the resource ('near a given airport within a radius'). It distinguishes itself from sibling tools like lookup_airport and search_flights by focusing on finding nearby alternatives for cheaper flights.

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 usage ('Useful for finding cheaper flights from nearby cities') but does not provide explicit when-to-use or when-not-to-use guidance, nor does it compare with sibling tools like search_flights or get_price_history.

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 burden. It discloses the scope (~60 days) and mentions it's a single API call, but lacks information on data freshness, pricing sources, or any potential limitations (e.g., incomplete coverage for certain dates).

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

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

Two sentences, no filler. Front-loaded with core action and key attributes ('~60 days', 'Single API call'). Every word adds utility.

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

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

The description does not specify the output format (e.g., list of dates with prices), which is important for an agent to use the result. With no output schema, this gap hinders full understanding. Sibling tools may offer more detail, but for this tool it's incomplete.

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 covers 75% of parameters with descriptions. The description adds value by explaining that departureDate is used to retrieve ~60 days of prices around that date, which is not clear from the schema alone. cabinClass default is noted but not elaborated.

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 clearly states it 'Get a full calendar of daily flight prices (~60 days)' and distinguishes itself by noting 'Single API call, no scanning,' which differentiates it from sibling tools like search_flights or get_price_history.

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 it's for a broad overview ('Shows cheapest dates at a glance'), but it does not explicitly state when to use this tool versus alternatives like search_flights or get_price_history. No exclusions or prerequisites are mentioned.

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 full burden. It discloses the tool generates a URL and can be clicked to view/book, but does not mention any behavioral traits like error handling, rate limits, or read-only nature. It is minimally 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 two sentences, no fluff, and front-loaded with the primary action. Every word adds 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 the tool's simplicity and schema richness, the description is mostly complete. It implies the return is a URL and that it supports one-way/round-trip based on returnDate. Minor omission: no explicit mention of return format or that origin/destination must be IATA codes (schema handles that).

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 71%, so baseline is 3. The description adds no extra meaning beyond the schema's parameter descriptions, which already document most parameters clearly.

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 clearly states it generates a Google Flights URL for a route, using a specific verb and resource. It implies differentiation from sibling tools like search_flights, which return flight data, but does not explicitly distinguish them.

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

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

The description provides no guidance on when to use this tool versus its 11 siblings, nor does it mention when not to use it. It only implies usage for generating a URL, leaving the agent to infer 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?

No annotations exist, so the description carries full burden. It indicates a read operation ('view') and mentions 'all past observations and the trend', but lacks details on data freshness, pagination, or limits. For a simple read, this is adequate but not thorough.

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 two sentences with no wasted words. It front-loads the action and resource efficiently.

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 no output schema, the description hints at the return shape ('all past observations and the trend'), but could be more specific (e.g., includes date and price fields). Still, it covers the core functionality for a simple read 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?

Schema description coverage is 75% (3 of 4 parameters have descriptions). The tool description adds no extra meaning beyond the schema's parameter descriptions. 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?

The description clearly states the verb 'View' and the resource 'recorded price history for a tracked route', distinguishing it from sibling tools like search_flights or get_price_insights.

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 that this tool is for viewing past price data but provides no explicit guidance on when to use it vs. alternatives, nor any exclusions or prerequisites.

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 present, so the description carries the full burden. It only states the tool 'scans multiple departure dates' but does not disclose behavior such as whether it returns prices, dates only, or real-time vs. cached data. Lacks transparency for an agent to predict side effects or limitations.

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

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

Two sentences, immediately stating the core function. No wasted words, front-loaded with actionable information.

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

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

Tool has 6 parameters, no output schema, and no annotations. The description fails to specify return format (e.g., prices, dates, or both), how scanning works, or any prerequisite knowledge. Incomplete for an agent to use effectively without additional context.

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 67%, with adults and cabinClass lacking descriptions. The tool description does not add any parameter-specific details beyond what the schema already provides. No compensation for missing parameter 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 clearly states the tool's purpose: 'Find the cheapest travel dates for a route within a date range.' It uses a specific verb ('Find') and resource ('cheapest travel dates'), and distinguishes itself from sibling tools like search_flights by indicating it scans multiple departure dates.

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 usage for finding cheapest dates across a range, but lacks explicit guidance on when not to use it (e.g., for specific flight booking) or alternatives like search_flights or get_calendar_heatmap. No exclusion criteria or context provided.

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 burden. It indicates the tool returns last known price and observation count, implying a read-only operation. However, it does not mention authentication requirements, rate limits, or potential pagination for many routes. This is adequate but not comprehensive.

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

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

Single sentence that is clear, front-loaded with the verb and resource, and concise. Every part of the sentence adds value without 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?

For a simple list tool with no parameters and no output schema, the description is fairly complete: it states what is listed and what data is returned. It lacks mention of ordering or if all routes are returned at once, but given the simplicity, a 4 is appropriate.

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

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

The tool has zero parameters and schema coverage is 100% (trivially). Since there are no parameters to describe, the description adds no parameter information, but the baseline expectation for a no-param tool is 4. The description appropriately focuses on output.

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 clearly states the verb 'List' and the resource 'all routes currently being price-tracked', and specifies the output fields (last known price, number of observations). This distinguishes it from sibling tools like track_price (which adds routes) and get_price_history (history of a specific route).

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

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

No explicit guidance on when to use this tool vs alternatives is provided. The context implies it is for getting an overview of tracked routes, but there is no 'use when' or 'instead of' wording. A 3 reflects this lack of explicit usage direction.

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 full transparency burden. It mentions searchable fields (city, airport, country) but omits details like case sensitivity, partial matching behavior, output format, or error handling. Basic transparency is present, but richer context would aid the agent.

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 two sentences long, front-loading the core action, and contains no extraneous information. Every word contributes to understanding the tool's function and scope.

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 lookup tool with a single parameter and no output schema, the description adequately covers the basic purpose. It could mention that the result is a list of matches or provide a typical output shape, but it remains sufficient for correct invocation.

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

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

Schema description coverage is 100%, and the description adds value by stating the corpus size (8,800+ airports). The parameter's purpose is fully documented in the schema, and the description reinforces it without redundancy.

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 clearly states the tool's purpose: 'Look up airport IATA codes by city name, airport name, or country. Searches 8,800+ airports.' It uses a specific verb ('look up') and resource ('airport IATA codes'), and the scope is quantified. This effectively distinguishes it from sibling tools like search_flights or find_nearby_airports.

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

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

No explicit guidance on when to use this tool versus alternatives such as find_nearby_airports is provided. The intended use is implied by the description, but an agent would benefit from knowing that this is for IATA code resolution specifically, not for finding airports by location or other criteria.

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 burden. It lists return fields but does not disclose if the operation is read-only, any side effects, error conditions, auth needs, or rate limits. The behavior is implied as read-only with no side effects.

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 two sentences, concise, and front-loaded with the primary action. Every part adds value without 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?

For a tool with 11 parameters and no output schema, the description covers the purpose and return values well. However, it lacks details on pagination or sorting behavior, but given the schema richness, it is mostly complete.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds context about one-way vs round-trip (via returnDate) but does not provide additional parameter semantics beyond what the schema already contains.

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 clearly states it searches for flights, specifies one-way or round-trip, and lists the returned data (prices, airlines, durations, etc.). This differentiates it from siblings like search_multi_city or get_price_insights.

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 usage for standard flight searches but does not explicitly provide when to use this tool versus alternatives, nor does it mention 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 full burden for behavioral disclosure. It only states that 2-5 segments are supported, without mentioning error handling, performance characteristics, or what happens if constraints are violated.

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 very concise at two sentences, but this brevity comes at the cost of missing essential details. It is not optimally informative; the second sentence adds minimal value beyond the first.

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 has 7 parameters, no output schema, and no annotations, the description is far from complete. It does not describe the return format, result limits beyond 'maxResults', or any ordering/filtering behavior.

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 only 14%, and the description adds no information beyond the schema's existing parameter descriptions. Key parameters like 'adults', 'cabinClass', and 'maxResults' are left unexplained, requiring the agent to infer meaning from names alone.

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 clearly states it searches for multi-city (multi-leg) flights and specifies the supported number of segments (2-5). This distinguishes it from sibling tool 'search_flights' which likely handles simpler itineraries.

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 use for multi-city itineraries with 2-5 segments but provides no guidance on when not to use this tool or mention of alternatives like 'search_flights' for single-leg or round-trip searches.

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 full burden. It discloses that the tool records the cheapest price and reports changes since the last check, but it does not detail side effects (e.g., overwriting previous data), authentication needs, rate limits, or response structure. Some valuable behavioral context is provided 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?

The description is concise with two sentences, no waste. It is front-loaded with the main action and adds specific detail in the second sentence. Every part 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?

Given the tool has 4 parameters, no output schema, and no annotations, the description is somewhat complete but misses important context: what 'since last check' implies (requires prior call?), the return format, and whether it is a write operation. It is sufficient for simple scenarios but lacks depth.

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 75% (3 of 4 parameters have descriptions). The description adds no additional meaning beyond the schema for origin, destination, and departureDate, and does not mention cabinClass at all. Since coverage is high but not complete, a score of 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?

The description clearly states the tool tracks a flight price over time, recording the current cheapest price and reporting changes. It uses specific verbs and resources, distinguishing it from siblings like search_flights and get_price_history.

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 usage for tracking a specific flight price over time but provides no explicit guidance on when to use this tool versus alternatives such as get_price_history or get_price_insights. Context is clear but exclusions are absent.

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