Crawlora MCP

motogp_entry_grid_options

Read-only

Discover the consuming selectors for one MotoGP content event and return its content-event UUID plus two lightweight arrays: entries tuples (native result event_uuid, category_uuid and category name) and starting_grid tuples (GP season_year, shortname and native category_name label). id is a required content-event UUID from motogp_content_events, a different namespace from result UUIDs. Values come from the event's explicit result-UUID bridge, source season/code and category catalogs; missing bridges or mismatched name spaces fail instead of inventing UUIDs, non-GP events produce no grid choices, and no grid rows, rider profiles or media are fetched.

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": {
      "id": "<id>"
    },
    "name": "motogp_entry_grid_options"
  }
}

Input Schema

Name	Required	Description	Default
`id`	Yes	Required content-event UUID from motogp_content_events (or a session's event.id). This is a metadata namespace, different from the result-event UUIDs the discovery returns.

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.

AddedNov 11, 2026

TDQS

A4/5.0

Behavior5/5

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

Annotations declare readOnlyHint and openWorldHint, and the description goes well beyond them: it discloses failure semantics ('fail instead of inventing UUIDs'), conditional emptiness for non-GP events, and explicit scope exclusions ('no grid rows, rider profiles or media are fetched'). This materially tells the agent what to expect on edge cases that annotations cannot express.

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?

Purpose is front-loaded in the first clause, followed by return shape, then constraints, which is a sensible order. The prose is dense and slightly overwrought in places ('consuming selectors', 'explicit result-UUID bridge'), but nearly every clause carries a fact the agent needs.

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?

For a single-parameter, read-only discovery tool with an output schema, the description covers purpose, id provenance, failure modes, and scope limits. Nothing critical is missing; the only gap is an explicit pointer to which sibling to use when the agent actually wants grid rows rather than selector options.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the single parameter is already documented, so the baseline would be 3. The description earns above baseline by emphasizing the namespace distinction between content-event UUIDs and result-event UUIDs, which is a semantic trap the schema text also notes but the description reinforces with the downstream consequence (mismatched namespaces fail).

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 ('Discover the consuming selectors for one MotoGP content event') and enumerates the two arrays returned, so the agent knows this returns selector metadata rather than grid rows. The jargon 'consuming selectors' is vague on its own, but the parenthetical breakdown of entries and starting_grid tuples clarifies it. It stops short of explicitly naming motogp_starting_grid as the tool to use for actual grid rows.

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?

Provides real context: 'id is a required content-event UUID from motogp_content_events, a different namespace from result UUIDs' steers the agent to the correct source. It also sets expectations that missing bridges or mismatched namespaces fail and non-GP events yield no grid choices. However, it never explicitly contrasts with siblings like motogp_starting_grid or motogp_entries, leaving the use-vs-alternative decision to inference.

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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