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Nanparam

livefpl-mcp

by Nanparam

livefpl_top_transfers

List the most common FPL transfers as player-in/player-out pairs, sorted by volume, to identify transfer trends that drive price changes.

Instructions

List the most common FPL transfers (player in / player out pairs).

These transfer volumes drive the price changes surfaced by the other tools.

Args: limit: Maximum number of transfer pairs to return (default 20).

Returns: JSON array of {player_in, player_out, count, share_pct} sorted by volume.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior2/5

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 discloses the return format (JSON array of objects) and sorting by volume, but does not mention any constraints like rate limits, authentication, data freshness, or operational side effects. As a read-only operation, there is no destructive behavior, but the description still lacks important behavioral context beyond the basic listing.

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

Conciseness5/5

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

The description is compact and well-structured: a one-line summary, a brief contextual sentence, and explicit Args/Returns sections. Every sentence adds value—no redundancy or filler—making it easy for an agent to parse quickly.

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 simple one-parameter tool with an output schema, the description covers the operation, parameter meaning, and return format. The context about driving price changes helps an agent understand its role among siblings. The main gap is lack of usage guidance, but that is not required for completeness of the tool's own invocation.

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

Parameters4/5

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

The schema provides the 'limit' parameter with a default but no description. The description's Args section explicitly states 'Maximum number of transfer pairs to return (default 20)', adding meaning beyond the schema. This is particularly valuable given schema description coverage is 0%, so the description compensates well.

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 clearly states the tool lists the most common FPL transfers as player in/out pairs, using a specific verb ('List') and resource ('transfer pairs'). It does not explicitly compare itself to sibling tools like price risers/fallers, but the action is distinct and unambiguous.

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 notes that 'These transfer volumes drive the price changes surfaced by the other tools', implying a relationship to siblings, but gives no explicit when-to-use guidance or alternatives. An agent must infer when this tool is appropriate versus the other transfer-related tools.

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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