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Crawlora MCP

espn_team_roster

Read-only

Returns a team's roster — players with position, jersey, age, and experience — plus the head coach, from ESPN's credential-free public JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamYesRequired. Team id (numeric) or abbreviation, e.g. 12 or KC.
sportYesRequired. ESPN sport key. One of football, basketball, baseball, hockey, soccer.
leagueYesRequired. League key within the sport, e.g. nfl, nba, mlb, nhl, eng.1.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds real context beyond that: the exact payload contents (players with position/jersey/age/experience, plus head coach) and the fact that the source is 'credential-free public JSON,' which tells the agent no authentication is required. Rate limits and pagination are not mentioned.

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?

A single front-loaded sentence with an em-dash aside; the return contents come first and the data-source/auth note trails. Every clause earns its place and there is no padding.

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?

An output schema exists, so return shape need not be spelled out, and the description still summarizes it. Combined with a 100%-covered schema and safety annotations, the definition gives the agent everything needed to invoke it correctly; only usage routing against sibling team tools is absent.

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 all three required parameters (team, sport, league) fully documented including id/abbreviation examples. The description adds no parameter-level detail beyond the schema, so the baseline 3 applies — the schema does the heavy lifting.

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?

States a specific verb and resource ('Returns a team's roster') and enumerates the fields returned (position, jersey, age, experience) plus the head coach. It is clear what the tool does, though it does not explicitly distinguish itself from the sibling espn_team (team metadata) that an agent might confuse it with.

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 usage is implied by the name and description — call it when you need a team's player list — but there is no explicit when-to-use statement, no mention of prerequisites, and no routing to alternatives such as espn_team or espn_teams. Adequate but leaves the agent to infer the choice.

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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