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TE / transfer-encoding token shape

geo-hint

Latitude and longitude for a place via Open-Meteo.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.4/5.0
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 names the provider but does not explicitly disclose that this triggers an external network call, say nothing of failure modes, rate limits, or which of the 9 parameters actually feeds the lookup. The schema hints that most params are 'discarded,' which is unaddressed by the description.

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. It is appropriately concise and states the core action immediately, though it pays for that brevity by omitting the context that other dimensions needed.

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 calling an external weather-geocoding API, this is under-specified: there is no output schema, no parameter mapping, no error or availability behavior, and no statement of what is returned. Against a backdrop of 9 generic parameters and no annotations, the single sentence leaves an agent materially uninformed about how to call it correctly.

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 100%, which normally sets a baseline of 3, but the parameter descriptions are generic boilerplate ('discarded after the shape check', 'no disk access') that appear shared across sibling tools and do not map to a geocoding operation. The description adds no information about which parameter (likely 'city' or 'query') supplies the place, leaving the core input ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear geocoding purpose ('Latitude and longitude for a place via Open-Meteo') with a specific resource and external provider. However, it offers no differentiation from sibling tools like weather-hint, timezone, or iana-zones, and the 9-parameter generic schema (ref, url, feed, host, json) does not obviously align with a lat/long lookup, leaving the agent to guess which tool this actually is.

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?

No guidance is given on when to use geo-hint versus alternatives such as weather-hint or iana-zones, and there are no exclusions or prerequisites. The description does not even hint at the intended call scenario, so an agent gets no help deciding between this and the adjacent hint-style siblings.

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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