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signal_fpl

Fantasy Premier League engine on venue-own numbers — captaincy calls, transfer scans over the full element pool, £100m squad builds; baseline-anchored projections on the official-points ruler; honest 409 pre-season/rollover (verdict-gated, sprint-205) [PAID — signal credit or x402 USDC. Cost: 1 signal credit ($1.70-$2.49/credit by pack size). Uncredentialed calls return the 402 payment envelope; set X-API-KEY on the MCP connection or pay x402 out-of-band at GET /api/signal/fpl.]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

C2.2/5.0
Behavior3/5

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

The description discloses the payment requirement and the 402 error for uncredentialed calls, which is a behavioral trait. However, other aspects like the meaning of 'honest 409 pre-season/rollover' remain cryptic, reducing overall transparency.

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

Conciseness2/5

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

The description is overly verbose, including repeated pricing information and confusing phrases like 'verdict-gated, sprint-205'. It lacks concise, structured presentation.

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

Completeness2/5

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

Given the tool's apparent complexity, the description does not adequately explain what data or recommendations are provided, nor the output format. It focuses more on payment details than on functional completeness.

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?

The input schema has no parameters, so the description adds nothing about parameters. Since the schema is empty, the baseline score of 3 is appropriate.

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

Purpose2/5

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

The description is vague and marketing-like, listing features such as 'captaincy calls' and 'transfer scans' without a clear verb or resource. It does not explicitly state what the tool returns or its primary function.

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

Usage Guidelines1/5

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

No guidance is given on when to use this tool versus other signal tools. The description focuses on pricing and error codes rather than selection criteria or scenarios.

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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