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touchlinewire

get_fpl_gameweek_briefing

Read-onlyIdempotent

Retrieves Fantasy Premier League Gameweek scouting data to guide captain, transfer, and budget decisions, including expected minutes, differentials, enablers, momentum, and injury/card warnings.

Instructions

Retrieve the live 2026/27 Fantasy Premier League (FPL) Gameweek Scout Briefing: top captaincy picks, RoboKlopp expected minutes (Start %), sub-10% differentials, <=£6.5m budget enablers, Gameweek transfer momentum, and injury/4-yellow-card bandwagon trap warnings.

Input Schema

NameRequiredDescriptionDefault
gameweekNoOptional Gameweek number (1-38). Defaults to the active upcoming Gameweek.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.2.0

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully carried by structured fields. The description adds that the data is 'live' (freshness context) and that the output is a composite briefing, but says nothing about how often it refreshes, whether 'live' lags the official API, or what happens for a future/finished gameweek. Some added value, but not rich behavioral disclosure.

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?

One front-loaded sentence with the verb and resource first, then the content breakdown. It is dense with domain jargon (RoboKlopp, differentials, bandwagon trap) but every clause names a distinct returned section, so little is wasted; a short second sentence on default gameweek behavior would have been a better investment than some of the jargon.

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 does the work of enumerating the return payload's sections, which is the key missing piece for an aggregate read tool. For a single optional-parameter, read-only, closed-world call the definition covers nearly everything an agent needs; only the freshness/lag caveat and the no-argument default are left implicit.

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%, and the single gameweek parameter's 1-38 range and 'defaults to active upcoming Gameweek' behavior are fully documented in the schema. The description never mentions the parameter at all, so it adds no meaning beyond the schema – baseline 3 is appropriate.

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

Purpose5/5

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

States a specific verb (Retrieve) and a well-defined resource (live 2026/27 FPL Gameweek Scout Briefing) and then enumerates exactly what the briefing contains: captaincy picks, expected minutes, differentials, budget enablers, transfer momentum, and trap warnings. This distinctively separates it from narrower siblings such as get_fpl_picks and get_fpl_transfer_trends, which cover only one slice each.

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?

Usage is implied by the content list – an agent can infer this is the aggregate 'one-stop' FPL call – but there is no explicit when-to-use or when-not-to-use statement, and no routing to get_fpl_picks / get_fpl_transfer_trends for single-topic queries. It also does not say whether to prefer this over those siblings when both would answer.

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