get_current_standingsCheck current F1 driver championship standings. Returns position, points, wins, driver name, and constructor for all drivers.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| round | Yes | Current round number | |
| season | Yes | F1 season year | |
| standings | Yes | List of driver standings |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Output schema / properties / standings / items / propertiesPrevious value: -"[Object: undefined]"New value: +{
+ "code": {
+ "description": "Three-letter driver code",
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "constructor": {
+ "description": "Current constructor name",
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "driver_id": {
+ "description": "Ergast driver ID",
+ "type": "string"
+ },
+ "name": {
+ "description": "Full driver name",
+ "type": "string"
+ },
+ "nationality": {
+ "description": "Driver nationality",
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "number": {
+ "description": "Driver car number",
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "points": {
+ "description": "Championship points",
+ "type": "number"
+ },
+ "position": {
+ "description": "Championship position",
+ "type": "integer"
+ },
+ "wins": {
+ "description": "Number of race wins",
+ "type": "integer"
+ }
+}Output schema / (root)Previous value: -nullNew value: +{
+ "properties": {
+ "round": {
+ "description": "Current round number",
+ "type": [
+ "integer",
+ "null"
+ ]
+ },
+ "season": {
+ "description": "F1 season year",
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "standings": {
+ "description": "List of driver standings",
+ "items": {
+ "properties": "[Object: undefined]",
+ "required": [
+ "position",
+ "points",
+ "wins",
+ "driver_id",
+ "number",
+ "code",
+ "name",
+ "nationality",
+ "constructor"
+ ],
+ "type": "object"
+ },
+ "type": "array"
+ }
+ },
+ "required": [
+ "season",
+ "round",
+ "standings"
+ ],
+ "type": "object"
+}Input schema / examplesAdded value: +[
+ {}
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare this as safe, read-only, idempotent, and non-destructive, so the description does not need to repeat that. It adds useful context about returning all drivers and the 'current' snapshot, but does not disclose nuances like data recency or ordering behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two crisp sentences: the first states the operation and resource, the second lists return fields. No filler or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter read-only tool with a rich output schema and strong annotations, the description is fully adequate. It tells an agent what the tool returns and at what scope (all drivers, current standings).
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema coverage is 100%, so there is no parameter documentation burden. The description appropriately focuses on the output rather than inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Check') and resource ('current F1 driver championship standings'), and specifies the returned fields. It is clearly distinguishable from sibling tools like get_driver (individual driver) and get_race_results (race-level data).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The tool's scope is implied by 'current... for all drivers', which helps an agent identify broad standings lookups. However, there is no explicit guidance on when to choose this over get_driver or get_race_results, and no mention of edge cases like season selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have detailed 'use when' guidance and the polymarket/entity clusters are distinguishable, but ask_pipeworx and ask_pipeworx_beta are currently identical, and ask_pipeworx/ask_pipeworx_grounded/deep_research sit close together. Many other tools (ai_visibility_check vs scan_competitor_ai_presence, bet_research vs polymarket_edges) require careful reading to keep separate.
Consistent snake_case and recognizable subfamilies (ask_pipeworx*, polymarket_*, get_*) keep names readable. However the overall set mixes verb_noun (get_schedule, resolve_entity), bare verbs (remember, forget), noun phrases (recent_alerts, pipeworx_trending), and compound noun names (bet_research, polymarket_fill_risk), so there is no single predictable convention.
35 tools is well over the 25+ threshold and spans many unrelated concerns: F1 data, universal data lookup, prediction markets, subscriptions, memory, npm scanning, and AI visibility. While a broad data platform can justify a large surface, the mix of one-off and meta tools makes this feel bloated rather than well-scoped.
For a server named F1 the surface is thin: it covers schedule, driver profiles, race results, and driver standings but lacks constructor standings, qualifying, team/circuit data, and a driver list. The surrounding Pipeworx tools provide depth in other domains, but they do not fill the F1-specific gaps.