Skip to main content
Glama

weather_forecast_los-angeles

Hourly Los Angeles weather forecast (blend model, method labeled). Hourly weather forecast for Los Angeles: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Los Angeles coordinates built in. [HTTP: GET /v1/forecast/los-angeles · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.los-angeles]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursYes
unitsYesimperial

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the blend model, that every response labels the producing method, the NWS-derived source, the HTTP verb, x402 payment, and dynamic pricing. It does not, however, describe rate limits, auth requirements, or the response structure beyond referencing another endpoint.

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

Conciseness3/5

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

The purpose is front-loaded, but the opening two clauses redundantly restate the same idea ('Hourly Los Angeles weather forecast' / 'Hourly weather forecast for Los Angeles'). The bracketed HTTP/pricing/docs block is dense but useful; the duplication is wasted space.

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?

For a tool with no output schema, the description punts return-value explanation to another endpoint ('same shape as /v1/forecast/point') rather than describing the payload itself. It also gives a horizon figure that conflicts with the schema, so an agent cannot fully trust it on the one parameter that matters.

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

Parameters2/5

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

Schema coverage is 0%, so the description must explain both parameters. It partially addresses 'hours' ('up to 168 hours out') but that value contradicts the schema's maximum of 240, which is actively misleading. The 'units' parameter (metric/imperial) is not mentioned at all, leaving half the parameters undocumented.

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?

The description names a specific verb+resource (hourly forecast) and a specific location (Los Angeles), and distinguishes itself from the sibling weather_forecast-point by stating it has the LA coordinates built in. An agent can identify exactly what this returns without opening the schema.

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?

It states the tool is the same shape as /v1/forecast/point but with LA coordinates baked in, which implicitly routes an agent wanting arbitrary coordinates to that sibling. It also discloses the tiered pricing ($0.01 for ≤48h, $0.03 beyond), hinting at horizon-based selection. However, there is no explicit 'use this when / not when' phrasing.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.