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Fair Fare: Check a cab firm's fleet.json

fairfare_check_fleet_file
Read-onlyIdempotent

Fair Fare. Check a cab firm's fleet.json. Reads a taxi or minicab firm's fleet.json (the open format at fairfare.pages.dev/fleet that lets assistants find and book local firms directly) and lists anything to fix.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe https address of the fleet.json file.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so safety and network behavior are covered. The description adds that the result is a list of things to fix, but does not disclose output format, pagination, or failure modes. With annotations carrying the safety profile, this is an acceptable 3.

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

Conciseness3/5

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

The content is front-loaded and understandable, but it opens with a bare 'Fair Fare.' brand token and then restates the title ('Check a cab firm's fleet.json') before reaching the substantive clause. Those opening fragments consume space without adding meaning, so it is efficient but not tight.

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?

For a single-parameter, non-destructive read tool with full annotation coverage and no output schema, the description supplies enough context: what fleet.json is, where the format lives, and that the tool returns a list of issues to fix. The only gap is not describing the output structure more concretely.

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 100% with a single url parameter whose meaning is already documented. The description reinforces the context (the open fleet.json format at fairfare.pages.dev/fleet) but adds no syntax or format detail beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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 names a specific verb and resource ('Check a cab firm's fleet.json') and adds what the operation does ('reads... and lists anything to fix'). This distinguishes it from siblings like fairfare_check_driver_licence or fairfare_estimate_fare, which operate on different resources. The separate title repeats the same wording, so the added value beyond the structured fields is modest.

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

Usage Guidelines3/5

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

The description explains that this validates a firm's fleet.json, implying it is used to verify a fleet file, but offers no explicit when-to-use vs alternatives or prerequisites. It never states an exclusion or points to a sibling for a different task. Usage is implied rather than guided.

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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