Skip to main content
Glama
darshjoshi

io.github.darshjoshi/pitwall

by darshjoshi

get_weather

Retrieve weather conditions for a Formula 1 session, including temperature, rain, wind, and humidity, by specifying year, race, and session type.

Instructions

Get weather conditions during a session — temperature, rain, wind, humidity.

Args: year: Season year race: Race name (partial match) session_type: Session type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raceNo
yearNo
session_typeNoRace

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as read-only status, side effects, or data freshness. The description only lists parameters without explaining the operation's nature.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with a one-line summary followed by a compact Args list. Every sentence is necessary and front-loaded, with no wasted words.

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

Completeness3/5

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

Given the lack of annotations and schema descriptions, the description provides basic information about inputs but omits details about output structure, typical usage, or data range. It is minimally adequate for a simple query tool.

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?

The Args section adds context beyond the input schema by noting that 'race' supports partial match and 'session_type' is a session type. However, the descriptions are minimal and do not fully compensate for the 0% schema description coverage.

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 the tool retrieves weather conditions (temperature, rain, wind, humidity) during a session. It is specific enough to understand the tool's purpose, but does not differentiate from the sibling tool 'get_live_weather', which may have a similar function.

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?

The description provides no guidance on when to use this tool versus alternatives, such as 'get_live_weather'. It does not mention prerequisites, typical scenarios, or exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/darshjoshi/pitwall'

If you have feedback or need assistance with the MCP directory API, please join our Discord server