flightmussy

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

Annotations indicate readOnlyHint=true and destructiveHint=false. The description adds behavioral context: uses 12-month fare data, returns cheapest fare, month, savings, and a link. It does not contradict annotations, but could mention data freshness or rate limits.

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 well-structured sentences: first states purpose, second details outputs and optional filter. No wasted words, front-loaded with key 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?

For a tool with 4 parameters and no output schema, the description is complete: it explains what is returned (cheapest fare, month, savings, link), optional filters, and default currency. No critical 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?

Schema coverage is 100%, so baseline is 3. The description adds some context (e.g., currency default, cheapest month filter) but the schema already adequately explains parameters. The description complements but does not significantly enhance parameter understanding beyond 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?

The description clearly states the tool ranks cheapest round-trip flight destinations from an origin city using specific data. It distinguishes itself from siblings by focusing on cheapest destinations, as opposed to comparing origins, specific routes, or timing.

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 implicitly tells when to use the tool: when the agent needs the cheapest destinations from a given origin. It mentions an optional month filter but does not explicitly state when not to use it or compare to siblings. However, the sibling tools are listed in context, providing some differentiation.

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?

Adds context beyond annotations: uses 12-month fare data, returns cheapest round-trip fare, currency default, cheapest month, savings vs peak, and booking link. No contradictions with readOnlyHint=true.

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, front-loaded with purpose, 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 readOnly annotations and no output schema, description fully explains what is returned (cheapest fare, month, savings, link), making it complete for this read-only 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%, but description adds value by explaining default currency and connection to parameter, and implies limit functionality. Enhances understanding of 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?

Clearly describes the tool as ranking cheapest origin cities to a destination, using specific verb 'rank' and resource 'origin cities'. Distinguishes from siblings like cheapest_flights_from (origin-based) and route_fare (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?

Provides an example query ('where is it cheapest to fly to Rome from?') and explains what it returns. Implicitly suggests use case, but doesn't explicitly contrast with siblings or state when not to use.

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. Description adds value by detailing the return content (cheapest fare, month, typical price, yearly range, most expensive month, airlines, link). No contradictions.

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 efficient sentences, front-loaded with core functionality, includes a concrete example. No unnecessary 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 high schema coverage, annotations, and no output schema, description adequately describes return values and provides an example. Sufficient for an agent to understand and invoke the tool correctly.

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

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

Schema coverage is 100%, so baseline 3. Description mentions origin and destination in example but does not add additional meaning beyond schema. Currency parameter is not emphasized beyond schema description.

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?

Description clearly states it retrieves a fare summary for a specific route (origin to destination), listing specific data points. Distinguishes from sibling tools which target different use cases (cheapest flights from a location, comparing origins, timing).

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?

Implied usage for one route but lacks explicit when-to-use or alternatives. Does not mention exclusions or conditions for use, though the example helps clarify.

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 declare readOnlyHint=true, so no mutation. The description adds context about using FlightMussy's 12-month fare data and details the return structure (cheapest month, peak month, savings, link), which goes beyond the annotations. No contradictions found.

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 four sentences, front-loaded with the core purpose. Each sentence adds value: purpose, return data, clarification about seasonality, and an example. It is efficient and well-structured, though could be slightly tighter.

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 no output schema, the description adequately covers return values (cheapest month, peak month, savings, link). It does not mention error handling or edge cases, but for a simple query tool, this 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?

Schema coverage is 100%, so baseline 3. The description mentions an example (Oslo, Rome) but does not add semantic details beyond the schema descriptions for origin, destination, and currency. Thus 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 the tool answers 'when is the cheapest time/month to fly from X to Y?' and specifies it returns the cheapest month, peak month, savings percentage and amount, and a booking link. It distinguishes itself from advance booking advice and provides an example, making the purpose precise and differentiating it from siblings.

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 says it answers seasonality questions (which calendar month is cheapest) and contrasts with 'how far in advance to book'. However, it does not explicitly guide the agent on when to choose this over sibling tools like cheapest_flights_from or route_fare, only implying the seasonal focus.

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