FlightSeatmap

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

No annotations are provided, so the description bears full responsibility. It describes the output (lists MCP servers and install URLs) but does not disclose any behavioral traits such as read-only nature, rate limits, or side effects. It is adequate but lacks extra context.

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

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

The description is two sentences: the first states the purpose, the second gives usage guidance. It is efficient with no wasted words.

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 (no inputs, no output schema), the description adequately covers what it does and when to use it. It does not detail the output format, but for a discovery tool, the context is sufficient.

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 no parameters, and schema coverage is 100%. With zero parameters, the baseline is 4. The description need not add parameter semantics.

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: discovering other flight & travel MCP servers, listing complementary tools covering award flights, airport delays, and lounges with install URLs. It distinguishes itself from sibling tools that focus on seat alerts and flight search.

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

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

The description explicitly provides context for when to invoke this tool, such as when the user asks about points/miles, airport delays, or 'what other flight tools are there?'. It does not mention when not to use it, but the guidance is clear.

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 description discloses that it returns a ranked list and renders an interactive seatmap, providing some behavioral insight. However, with no annotations, it does not address read/write nature, authentication needs, or side effects, leaving gaps for 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?

Three clear sentences, no fluff, but slightly verbose. Could combine the last two sentences for tighter structure. Content is front-loaded.

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 should clarify return format (e.g., JSON, image, interactive widget). It mentions 'interactive drill-down' and 'renders interactive seatmap' but does not specify output type, potentially confusing the AI agent. Also lacks details on prerequisites like flight data availability.

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?

Input schema has 100% description coverage, so baseline is 3. The description adds no meaningful parameter details beyond listing example preferences, which are already covered by the schema's enum. Minimal added value.

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 finds best available seats matching user preferences and returns a ranked list, which is specific. However, it does not sufficiently differentiate from sibling tools like 'interactive_seat_finder' or 'get_seatmap', as it also mentions rendering an interactive seatmap, potentially causing confusion.

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 like 'get_seatmap', 'interactive_seat_finder', or 'get_seat_info'. The description implies it's for personalized seat selection but offers no exclusion criteria or context for sibling tools.

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 description lists key behavioral traits (characteristics, availability, pricing) and implies a read operation. With no annotations, it carries the full burden; it is transparent but could mention 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, well-structured sentence that conveys purpose and details without any waste. Information is front-loaded and easy to parse.

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 or annotations, the description adequately outlines the returned information categories. It could be more specific about the format of characteristics, but remains reasonably complete for a simple lookup 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 coverage is 100%, with each parameter already described in the schema. The description does not add significant new meaning beyond confirming seat and flight identification.

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 retrieves detailed seat information including characteristics, cabin class, availability, and pricing. It differentiates from siblings like get_seatmap and find_best_seats by focusing on a specific seat's details.

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 fetching details on a known seat but does not explicitly contrast with alternatives like get_seat_reviews or interactive_seat_finder. No when-not-to-use guidance is given.

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

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

No annotations provided, so description carries full burden. It discloses that data is cached, which is a crucial behavioral trait. Could be improved by clarifying authentication requirements for this tool, but overall sufficient.

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 concise sentences with clear front-loading of purpose, no wasted words, and logical flow.

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, but description adequately explains return content (seats, classes, etc.) and mentions interactive app. Completeness is high for a read-only tool with clear 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?

Input schema has 100% description coverage for both parameters (flight_number, flight_date). Description does not add additional parameter-level meaning beyond the schema, so baseline 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?

Clearly states it retrieves seat map for a flight, detailing what it shows (seats, cabin classes, characteristics, availability, interactive visual seatmap). Distinguishes from siblings like find_best_seats or get_seat_info.

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 notes that it returns cached data and directs users to search_flight with API key for fresh/updated data, providing clear when-to-use and when-not-to-use guidance along with an 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?

No annotations provided, so description must cover behavior. It describes the interactive, step-by-step process but does not state if it is read-only or whether it modifies any state. The interactivity context is useful but incomplete.

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

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

Two sentences with no superfluous information. First sentence explains what the tool does, second gives usage guidance. Highly efficient.

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 interactive nature and lack of output schema, the description conveys the core flow but could benefit from details on interaction steps or expected responses. Still, it provides enough to understand the tool's role.

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 description does not enhance parameter meaning beyond what the schema provides. Baseline of 3 is appropriate since schema already documents both parameters.

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 is a guided step-by-step seat finder that interacts with the user, distinguishing it from siblings like 'find_best_seats' or 'get_seatmap'.

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 says 'Best tool when the user wants help finding a seat but hasn't specified preferences,' providing clear context. Does not mention alternatives or when not to use, but the positive guidance is strong.

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 authentication requirements, search credit usage, confirmation before credit use, and the return of an interactive app. It could add details on rate limits or credit insufficiency, but overall it's 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 six sentences, front-loaded with purpose, then auth, then credit details, and finally output. It could be slightly more concise (e.g., combine credit sentences) but is well-structured and avoids unnecessary 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?

Given 2 parameters, simple schema, no output schema, and no annotations, the description covers purpose, auth, credit mechanics, and return type. It doesn't detail the 'interactive seatmap app' beyond calling it that, but it's adequate for a search 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?

Input schema coverage is 100%, so baseline is 3. The description adds minimal parameter meaning beyond the schema—only mentioning 'flight number' implicitly through 'search for a flight' but not elaborating on flight_date or providing usage hints.

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 'Search for a flight and get fresh seatmap data,' which is a specific verb-resource pair. It distinguishes from sibling tools (e.g., get_seatmap, create_seat_alert) by emphasizing 'fresh' data and returning an interactive seatmap app.

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 when to use (to get fresh seatmap data, especially for new flights for paid users) but lacks explicit guidance on when not to use or how it compares to alternatives like get_seatmap. The context is implied but not systematic.

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