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Gillby

Predicted inlet currents

get_currents
Read-onlyIdempotent

Predicted inlet currents for a verified spot over the next hours. Includes timestamp, source status and explicit nulls when unavailable. Water temperature is F; atmospheric visibility is mi, not underwater visibility; current sign follows the assigned station convention.

Units: ft, kt, s, F, mi; directions FROM. Returns data and source/freshness metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already declare the safety profile (readOnly, idempotent, non-destructive, openWorld), and the description goes well beyond them by disclosing explicit nulls when data is unavailable, source/freshness metadata, and the current-sign and unit conventions. These are the details an agent needs to interpret and trust the returned series.

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?

Purpose is front-loaded and the unit/convention notes are useful. Slightly dense and mildly redundant ('source status' vs 'source/freshness metadata'), but every sentence carries information.

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?

With no output schema, the description supplies the return shape (data plus source/freshness metadata, timestamp, source status, explicit nulls), which is good. The gap is the undocumented 'hours' input for a nested-parameter tool, leaving forecast-window behavior unclear.

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 0%, so the description carries the burden: it clarifies that 'spot' must be a verified spot, adding meaning beyond the regex/maxLength constraints, but it never explains the 'hours' parameter (default 24, range 1-168) that defines the forecast window. Partial compensation only.

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?

States a specific verb+resource (predicted inlet currents) for a scoped subject (a verified spot over the next hours). No sibling tool covers inlet currents, so an agent can distinguish it from get_tides, get_gulf_stream or get_waves without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for a verified spot' implies a prerequisite (the spot must already be verified), but there is no explicit when-to-use, when-not-to-use, or routing to alternatives such as get_tides for tidal height. Usage is only implied by the scope.

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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