Skip to main content
Glama

Get Tide Predictions

tides.noaa.predictions
Read-onlyIdempotent

Retrieve NOAA tide predictions for US coastlines, rivers, and Great Lakes. Choose high/low tides, hourly, or 6-minute intervals with optional datum and units.

Instructions

Get tide predictions for a NOAA station — high/low tides, hourly, or 6-minute intervals. Returns predicted water level in feet or meters. Covers US coastlines, rivers, Great Lakes. Station IDs: 8518750 (NYC), 9414290 (SF), 8443970 (Boston) (NOAA, US Gov)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stationYesNOAA station ID (e.g. "8518750" for The Battery NYC, "9414290" for San Francisco, "8443970" for Boston)
begin_dateYesStart date in YYYYMMDD format (e.g. "20260409")
end_dateYesEnd date in YYYYMMDD format (e.g. "20260410"). Max range: 31 days.
intervalNoPrediction interval: "hilo" = high/low tides only (default), "h" = hourly, "6" = every 6 minutes
datumNoVertical datum: MLLW (default), MSL, NAVD, MHHW, MHW, MLW, etc.
unitsNoUnits: "english" = feet (default), "metric" = meters

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds context about the data source and units but does not disclose additional behavioral traits like rate limits or data freshness. With annotations providing safety clarity, a score of 3 is appropriate.

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 two sentences long, with the primary action stated first. Every sentence adds value: first sentence covers purpose, second adds context. No wasted words.

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

Completeness4/5

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

Given that an output schema exists, the description adequately covers the tool's scope, including coverage area, intervals, units, and examples. It is complete enough for an agent to understand the tool's use, though it could note data source authority.

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 the schema already explains each parameter. The description adds example station IDs and clarifies interval options, but this does not significantly expand meaning beyond the schema. Baseline 3 is correct.

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 clearly states the tool gets tide predictions for NOAA stations, specifies the types of predictions (high/low, hourly, 6-minute), units, and coverage. It also provides example station IDs, making the purpose unambiguous.

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 does not provide any guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. Users must infer usage from the description alone.

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/whiteknightonhorse/APIbase'

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