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Crawlora MCP

sofascore_mma_card

Read-only

Returns the bouts of one MMA fight card, main event first, narrowed with part to all, maincard, prelims or earlyprelims: fighters with ranking and record, weight class, scheduled rounds and the result of finished bouts. Requires org_id and a card_id from sofascore_mma_schedule; a not-found error means an unknown card or one without that segment.

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": {
      "org_id": "<org_id>",
      "card_id": "<card_id>",
      "part": "<part>"
    },
    "name": "sofascore_mma_card"
  }
}

Input Schema

NameRequiredDescriptionDefault
partYesRequired. Card segment. One of all, maincard, prelims, earlyprelims.
org_idYesRequired. Numeric SofaScore MMA organisation id, e.g. 19906 for UFC.
card_idYesRequired. Numeric card id (card_id) from sofascore_mma_schedule, e.g. 197311.

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. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover safety (readOnlyHint, openWorldHint), yet the description adds genuine behavioral context: results are ordered main event first, and a not-found error implies either an unknown card or a missing segment. These are non-obvious traits an agent could not get from annotations alone.

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?

Two dense sentences, purpose front-loaded, followed by prerequisites and error semantics. Every clause carries information; slightly packed but no filler.

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 an output schema present, return-field details are largely redundant, yet ordering, prerequisite, and error interpretation are all covered. Complete enough to invoke correctly; only explicit alternative guidance 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 coverage is 100%, so all three required params are already documented, including the part values. The description mirrors these (all/maincard/prelims/earlyprelims) and adds the provenance of card_id, but adds little parameter meaning beyond the schema.

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?

Specific verb+resource ('Returns the bouts of one MMA fight card') with an explicit scope qualifier (main event first) and a named prerequisite sibling (sofascore_mma_schedule). An agent can distinguish this from sofascore_mma_schedule without opening either schema.

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?

Clearly states the prerequisite chain: org_id plus a card_id sourced from sofascore_mma_schedule, and explains that a not-found error means an unknown card or a card lacking that segment. It stops short of explicitly naming when-not-to-use or contrasting alternatives beyond the ID source.

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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