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darshjoshi

io.github.darshjoshi/pitwall

by darshjoshi

get_race_control

Retrieve race control messages including flags, penalties, safety cars, and investigations for a specific F1 season and session.

Instructions

Get race control messages — flags, penalties, safety cars, investigations.

Args: year: Season year race: Race name (partial match) session_type: Session type category: Filter: 'Flag', 'SafetyCar', 'Drs', 'Other', or empty for all

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raceNo
yearNo
categoryNo
session_typeNoRace

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden. It only states what the tool does but does not disclose any behavioral traits such as data freshness, query limits, or permission requirements. For a retrieval tool, it fails to note whether results are cached or rate-limited.

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?

The description is concise with two sentences and an argument list. It is front-loaded with the tool's purpose. No unnecessary words, but could be more structured with bullet points.

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

Completeness2/5

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

Given 4 parameters with zero schema descriptions, the description is incomplete. It does not explain what 'partial match' means or provide allowed values for session_type. Although an output schema exists, the input parameter details are lacking.

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 0%, so the description must compensate. It provides brief meanings for each parameter (e.g., year: Season year, race: partial match, category: filter with enumerated values). However, it lacks details on accepted formats, partial match behavior, or expected values for session_type. This adds some value but is insufficient.

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?

The description clearly states that the tool retrieves race control messages and lists examples like flags, penalties, safety cars, and investigations. This provides a specific verb-resource pair. However, it does not explicitly differentiate from siblings like get_live_race_control, relying on the name for distinction.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. For example, it does not mention that this tool likely returns historical data while get_live_race_control is for live data. No context for when to use or not use is provided.

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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