Crawlora MCP

sportskeeda_depth_chart

Read-only

Get NFL depth chart records for all teams, positions, and players from the public page. Use returned team paths with sportskeeda_page_data.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "sportskeeda_depth_chart"
  }
}

Input Schema

Name	Required	Description	Default
`slug`	Yes	Must be nfl/depth-chart. Documented values: nfl/depth-chart.

Output Schema

Name	Required	Description	Default
`data`	Yes	The tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 7, 2026
- addedInput schema / properties / slug / description
```
Added value: +"Must be nfl/depth-chart. Documented values: nfl/depth-chart."
```
First observedOct 5, 2026

TDQS

A4/5.0

Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds real context beyond that: the data comes from a public page and the returned team paths are consumable by sportskeeda_page_data. It does not mention rate limits or freshness, but the workflow hint is substantive.

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?

Two tight sentences with zero waste; the core purpose is front-loaded and the chaining instruction follows. Nothing extraneous.

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 values need not be described, and the description covers source and follow-up usage. The only shortfall is absent guidance on when to prefer this over sibling NFL/data tools, leaving a small selection gap.

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 coverage is 100% and the single slug parameter is fully documented with its allowed value in the schema. The description adds no format or semantics beyond what the schema already provides, so baseline 3 applies.

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?

States a specific verb and resource (get NFL depth chart records) plus explicit scope (all teams, positions, and players) and the data source (public page). An agent knows exactly what this returns without opening the schema.

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 names a follow-up (sportskeeda_page_data) for team paths, which is useful chaining guidance, but it gives no criteria for choosing this over the many sibling sportskeeda data tools (standings, football_data, player_stats). Usage is implied rather than stated.

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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