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Gillby

Marine protected areas

get_protected_areas
Read-onlyIdempotent

Marine protected areas from the published agency dataset, with source and availability. Empty reports do not establish safe conditions.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered; the description adds genuine context beyond that — agency provenance, that the response carries source/freshness metadata, and the important caveat that an empty result is not evidence of safe conditions. It still omits coverage/pagination or freshness-staleness behavior, so it stops short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The tool-specific sentences are tight and front-loaded, but the units/directions boilerplate has no bearing on a parameterless geographic lookup and reads as copied filler. Appropriately short overall, with some waste.

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

Completeness3/5

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

With no output schema, the description usefully states that data plus source/freshness metadata is returned, and it flags the empty-result caveat. However, the two available filters (bbox, category) are left undocumented in both schema and description, and no usage context is given, leaving real gaps for a nested-object tool.

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?

The schema has a nested query object with bbox and category at 0% description coverage, and the description never mentions either filter. The 'Units: ft, kt, s, F, mi; directions FROM' line is a generic footer that maps to no parameter of this tool, so it does not compensate for the documentation gap.

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 names a specific resource ('Marine protected areas') and its provenance ('from the published agency dataset'), so an agent knows this is a lookup of protected-area boundaries. It does not, however, distinguish itself from adjacent lookups in the sibling list such as find_reefs, get_poi, or search_pois.

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?

'Empty reports do not establish safe conditions' is an interpretive caution, not usage guidance — it never says when to call this tool versus get_park_alerts or the find_* siblings, nor what inputs are expected. There is no explicit when-to-use or when-not-to-use statement.

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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