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MintOcha

codex-search-mcp

by MintOcha

weather

Retrieve forecast data for a location given as city, country, or coordinates; optionally set start date and duration to plan upcoming days.

Instructions

Look up weather forecast for location (e.g. 'City, Country').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationYesLocation name, city, or coordinates
start_dateNoStart date (YYYY-MM-DD)
duration_daysNoDuration in days

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It says to look up a forecast but does not state whether the operation is read-only, what data source or coverage is used, how location resolution works, or what the return format looks like, leaving key behavioral traits opaque.

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 a single, front-loaded sentence with no wasted words. The example is embedded efficiently and nothing distracts from the core purpose.

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 tool with no annotations and no output schema, the description is too minimal. It omits what the forecast includes, how start_date and duration_days shape the result, and when an agent should prefer this over web-search or other siblings.

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 description coverage is 100%, so all three parameters are already documented in the input schema. The description adds a helpful example format ('City, Country') for the location parameter, but it adds no further meaning for start_date or duration_days, making the baseline 3 appropriate.

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 states a specific verb ('Look up') and resource ('weather forecast'), making the tool's purpose immediately clear. It does not, however, explicitly distinguish this tool from siblings like web-search or world-time, so it stops short of the highest clarity tier.

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 offers no guidance on when to use this tool versus alternatives such as web-search, nor does it state any preconditions or exclusions. Usage is only implied by the phrase 'Look up weather forecast for location,' which is not enough for explicit routing guidance.

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