espn_soccer_scores
Retrieve soccer scores for a given league from ESPN by specifying the league code (e.g., eng.1, usa.1).
Instructions
Get soccer scores from ESPN.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| league | No | e.g. eng.1, usa.1 |
Retrieve soccer scores for a given league from ESPN by specifying the league code (e.g., eng.1, usa.1).
Get soccer scores from ESPN.
| Name | Required | Description | Default |
|---|---|---|---|
| league | No | e.g. eng.1, usa.1 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description fails to disclose behavioral traits such as return format, data freshness, or whether scores are live or historical. This lack of transparency requires the agent to assume basic behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise—just one sentence. It is front-loaded and waste-free, though it lacks some helpful details that would improve clarity without sacrificing brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple nature of the tool (one optional parameter, no output schema), the description is incomplete. It does not specify whether scores are live, historical, or upcoming, which is essential context for proper usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with one parameter having a description ('e.g. eng.1, usa.1'). The description does not add extra meaning beyond the schema's example, so it meets the baseline but provides no added value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Get soccer scores from ESPN.' clearly identifies the tool's purpose with a specific verb and resource. It effectively distinguishes itself from sibling tools like espn_mlb_scores and espn_nba_scores by specifying 'soccer'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of appropriate contexts, exclusions, or related tools, leaving the agent to infer from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/malamutemayhem/unclick'
If you have feedback or need assistance with the MCP directory API, please join our Discord server