Skip to main content
Glama
DanielTomaro13

sportsdata-mcp

pl_squad

Read-onlyIdempotent

Retrieve a team's full squad for a specified competition and season, including player names, shirt numbers, positions, physical stats, and nationalities.

Instructions

Full squad for a team in a season — players[] with name, shirtNum, position, height/weight, dates, country.

Returns: {id, team, players:[{id, name, shirtNum, position, height, weight, country, dates}]}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cidYesCompetition id (8). Required — part of the URL path.
sidYesSeason id (2025 = 2025/26). Required — part of the URL path.
tidYesTeam id (e.g. 14 = Liverpool). Required — part of the URL path.
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint. The description adds useful context like 'Auth: none needed' and the exact return shape, but it does not discuss pagination, data completeness, or error behavior, which would add more value.

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 description is short and front-loaded with the core purpose. There is minor redundancy between the first sentence listing player fields and the Returns block repeating those fields, but overall it is compact and well-organized.

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 provides a clear return structure including the players array and its fields, plus auth information. For a simple read-only look-up with three well-documented parameters, this is sufficiently complete, though it could clarify semantics of 'dates' and 'team'.

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 clear descriptions for cid, sid, and tid, so the baseline is 3. The tool description adds no parameter-specific meaning beyond what the schema already provides.

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?

The description clearly states the tool returns a full squad for a team in a season, listing the player fields included. It differentiates from siblings like pl_teams or pl_team by focusing specifically on the squad/roster with detailed player attributes.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives such as pl_players or pl_team. The description implies usage from the purpose but does not state when to prefer it over other squad/player tools or mention any exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DanielTomaro13/sportsdata-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server