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SkyFareNet: cheap flights for Pakistan

Cheapest days to fly

cheapest_days

When to fly a route for less: the cheapest day of each month, the cheapest day of the week, and how much the cheapest day saves against a typical day. Uses fares for this month and next. Use for "which day is cheapest to fly Islamabad to Riyadh" or "best time to book Karachi to Dubai".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
originYes
destinationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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 does disclose a meaningful behavioral limit — the analysis 'uses fares for this month and next' — which tells the agent the result's time horizon. It says nothing about data source, result stability, or any auth/rate constraints, so the disclosure is partial.

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

Conciseness4/5

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

The return shape is front-loaded in the first sentence and the usage examples follow. It is compact with no filler, though the two example queries partially restate the same intent and could be trimmed to one.

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

Completeness4/5

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

With no output schema, the description usefully enumerates what comes back (cheapest day of each month, cheapest day of week, savings against a typical day) and scopes the fare data to the current and next month. Given only two simple string parameters, that is close to sufficient; input format guidance is the main missing piece.

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

Parameters3/5

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

Schema description coverage is 0% for both parameters, so the description must compensate. The example city pairs ('Islamabad to Riyadh', 'Karachi to Dubai') imply origin/destination are city-level names, which is useful, but there is no statement about accepted formats, IATA codes, or ambiguity when a city has multiple airports.

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

Purpose4/5

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

The description states a specific resource (cheapest day per month, cheapest day of week, and savings vs a typical day) with an implicit verb ('returns/computes'). It is clear and concrete, but it never contrasts itself with the nearby siblings such as search_fares or ticket_price, so an agent must infer the boundary.

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

Usage Guidelines4/5

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

Two worked example queries ('which day is cheapest to fly Islamabad to Riyadh', 'best time to book Karachi to Dubai') give strong positive usage context and even hint at the intended trip-planning intent. There is no explicit when-not guidance or named alternative tool, which keeps this below a 5.

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

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