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motogp_starting_grid

Read-only

Read one published MotoGP starting grid and return the complete native grid array plus optional penalty text. Each row preserves position, time, team name and reviewed professional rider/country/current-team fields; grid order, gaps, string positions/numbers, nulls and optional fields stay as supplied. season_year, shortname and category_name must be the exact native tuple from motogp_entry_grid_options' starting_grid choices (event codes are at most four characters and TEST codes are not valid); the selected GP event and category are checked against the source catalog. A valid GP can legitimately return an empty grid before data is supplied, while a failed dependency or changed shape is an upstream error. No qualifying calculation, column regrouping, entry reconciliation or local filtering is added.

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": {
      "season_year": "<season_year>",
      "shortname": "<shortname>",
      "category_name": "<category_name>"
    },
    "name": "motogp_starting_grid"
  }
}

Input Schema

NameRequiredDescriptionDefault
shortnameYesRequired exact native GP event shortname from the same starting_grid tuple, at most four characters (for example INA). Labels and event codes are context-dependent and are not inferred from country flags or lowercase aliases; TEST event codes are not starting-grid choices.
season_yearYesRequired native season year from one of motogp_entry_grid_options' starting_grid tuples, for example 2026.
category_nameYesRequired exact native category label from the same starting_grid tuple (for example MotoGP). The selected GP event and category are checked against the source event catalog before the grid is read.

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

A4.6/5.0
Behavior5/5

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

Beyond readOnlyHint/openWorldHint, it discloses that no qualifying calculation, column regrouping, entry reconciliation or local filtering is applied, that native ordering, gaps, string positions, nulls and optional fields are preserved as supplied, and that empty grids are valid while shape changes are upstream errors. That is substantive behavioral context an agent cannot get from 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?

Front-loaded with the action and the return shape, then constraints, then edge cases; every clause carries information. The semicolon-chained sentences are dense and somewhat run-on, which slightly hurts scannability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a three-required-parameter read tool with a full input schema, an output schema and read-only annotations, the description covers sourcing of arguments, validation behavior, preservation semantics and empty/error cases. Nothing an agent needs to call it correctly is missing.

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%, so the baseline is 3, but the description adds meaning: the triple must be a coherent native tuple from the options tool, event codes are at most four characters, TEST codes are not valid, and labels are not inferred from flags or lowercase aliases. Some of this repeats schema text, which keeps it from a 5.

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: 'Read one published MotoGP starting grid' and return the native grid array plus optional penalty text. It also implicitly separates itself from the options sibling by requiring the tuple to come from motogp_entry_grid_options' starting_grid choices, so an agent can tell which tool lists choices and which reads a grid.

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?

Gives clear preconditions: the three arguments must be the exact native tuple from motogp_entry_grid_options' starting_grid choices, and the event/category are validated against the source catalog. It also explains legitimate empty results versus upstream errors. It stops short of naming an explicit alternative for grids from other series (e.g. openf1_starting_grid), so not a 5.

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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