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gfw.ocean.fishing_effort

Analyze fishing effort intensity across a geographic polygon for a specified date range, aggregated by gear type (trawlers, longliners, purse seiners, squid jiggers, etc.). Returns a grid of 0.1-degree cells with fishing hours and vessel counts per month or year, drawn from Global Fishing Watch's...

SERVERApibase SOURCEapibase-mcp-client
Low RISK CLASS
Category Read
Parameters 42 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-whiteknightonhorse-apibase/gfw.ocean.fishing-effort.md

What gfw.ocean.fishing_effort does on Apibase

AI agents call gfw.ocean.fishing_effort to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
end_date string Yes End of the analysis period in ISO format YYYY-MM-DD (e.g. "2023-06-30"). Must be after start_date; keep ranges under 12 months for manageable response sizes.
start_date string Yes Start of the analysis period in ISO format YYYY-MM-DD (e.g. "2023-01-01"). GFW data coverage starts from 2012.
coordinates array — Polygon boundary as an array of [longitude, latitude] pairs defining the analysis area. The polygon must be closed (first and last coordinate identical). Exampl
temporal_resolution string — Time granularity for effort aggregation. "MONTHLY" groups data by calendar month; "YEARLY" by year. Default: "MONTHLY".

Parameters from the server's own tool schema.

Why gfw.ocean.fishing_effort is rated Low

Tool retrieves and aggregates public fishing data with no side effects or modifications.

From the tool's definition Analyze fishing effort intensity, returns grid data, AIS-based dataset, 2012–present.

Questions about gfw.ocean.fishing_effort

What does the gfw.ocean.fishing_effort tool do? +

Analyze fishing effort intensity across a geographic polygon for a specified date range, aggregated by gear type (trawlers, longliners, purse seiners, squid jiggers, etc.). Returns a grid of 0.1-degree cells with fishing hours and vessel counts per month or year, drawn from Global Fishing Watch's public AIS-based fishing effort dataset covering 2012–present. Useful for marine protected area monitoring, fisheries research, and vessel traffic analysis. Define the study area with a closed polygon in [longitude, latitude] coordinates. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.

What parameters does gfw.ocean.fishing_effort accept? +

gfw.ocean.fishing_effort accepts 4 parameters: end_date, start_date, coordinates, temporal_resolution. Required: end_date, start_date. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on gfw.ocean.fishing_effort? +

Register the Apibase MCP server in PolicyLayer and add a rule for gfw.ocean.fishing_effort: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Apibase. Nothing to install.

What risk level is gfw.ocean.fishing_effort? +

gfw.ocean.fishing_effort is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit gfw.ocean.fishing_effort? +

Yes. Add a rate_limit block to the gfw.ocean.fishing_effort rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block gfw.ocean.fishing_effort completely? +

Set action: deny in the PolicyLayer policy for gfw.ocean.fishing_effort. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides gfw.ocean.fishing_effort? +

gfw.ocean.fishing_effort is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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