Skip to main content
Glama

agentscoin_weather

Destructive

Fetch real-time weather for any city using Open-Meteo data. Pay 0.1 AGENT from your AgentsCoin wallet to retrieve current conditions for your AI agent.

Instructions

Get current weather for a city (premium data, Open-Meteo). Costs 0.1 AGENT.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYes
privateKeyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.6

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true and openWorldHint=true; the description usefully explains the "destructive" side by disclosing the 0.1 AGENT charge, which is real context not present in structured fields. However, it says nothing about the privateKey requirement, spend authorization, or rate/error behavior, so the disclosure is partial.

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?

A single front-loaded sentence with no filler; verb, resource, source and price all land immediately. It is arguably under-specified rather than overly long, which is a completeness problem more than a conciseness one.

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?

For a paid, open-world tool with no output schema and an undocumented privateKey parameter, the description leaves key call-time questions unanswered (what the key is for, what happens on failure, whether the 0.1 AGENT is spent on error). Only the price and data source are filled in.

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 description coverage is 0% for two parameters. The description implicitly covers "city" ("for a city") but says nothing at all about "privateKey," which is a required-in-practice credential for a paid call and easily the most error-prone parameter. It does not compensate for the coverage gap.

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?

Specific verb+resource ("Get current weather") with the scope narrowed to "a city," which makes it unambiguously distinct from every sibling (gas, swap, balance, news). It adds the data source (Open-Meteo), but never explicitly contrasts itself with any sibling tool.

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 only usage signal is the price line "Costs 0.1 AGENT," and the word "premium" faintly implies a paid tier versus something cheaper. There is no statement of when to call this versus alternatives, no prerequisites, and no error/failure guidance.

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