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Crawlora MCP

sportskeeda_transactions_options

Read-only

List all published NFL transaction seasons, months in a selected season, and all 32 team page slugs. Use these values with sportskeeda_transactions.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "sportskeeda_transactions_options"
  }
}

Input Schema

NameRequiredDescriptionDefault
seasonNoSeason start year; current live choices: 2020,2021,2022,2023,2024,2025,2026; defaults to current. Documented values: 2020, 2021, 2022, 2023, 2024, 2025, 2026.

Output 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. Changed1 schema field changed
    • addedInput schema / properties / season / description
      Added value: +"Season start year; current live choices: 2020,2021,2022,2023,2024,2025,2026; defaults to current. Documented values: 2020, 2021, 2022, 2023, 2024, 2025, 2026."
  2. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, so safety and openness are covered. The description adds that the output is meant to feed another tool, but says nothing about payload size, ordering, or whether the team slugs are stable. Adequate but not rich beyond the annotations.

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?

One front-loaded sentence listing the three outputs, followed by a short routing clause. Efficient and free of filler, though slightly dense with three enumerated items in one breath.

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-value details need not be repeated. For a one-parameter lookup tool with full schema coverage and clear annotations, the description supplies everything needed to invoke it and route its output correctly.

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 there is a single optional season parameter fully documented in the schema. The description's phrase 'months in a selected season' reinforces that season scopes the month list, but adds no syntax or boundary detail beyond the schema, so the 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 (List) and enumerates exactly what is returned: published NFL transaction seasons, months within a season, and all 32 team page slugs. This clearly distinguishes it from the sibling sportskeeda_transactions, which consumes these values rather than producing them.

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

Usage Guidelines4/5

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

Explicitly routes the agent: 'Use these values with sportskeeda_transactions,' making the lookup-then-call workflow clear. It does not state when not to use it, but for a pure enumeration tool the primary usage context is well covered.

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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