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Gillby

Reported algae samples

get_algae_reports
Read-onlyIdempotent

Reported algae samples 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 cover the safety profile (readOnly, idempotent, non-destructive, openWorld), but the description adds genuinely useful context: the epistemic caveat that empty reports do not imply safe conditions, plus the fact that source and freshness metadata are returned. It does not disclose rate limits or dataset latency beyond 'freshness metadata'.

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?

Purpose is front-loaded and the safety caveat is well placed, but the units/directions sentence reads as boilerplate shared across many sibling tools rather than something specific to algae reports, weakening its earned value.

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 partially covers returns ('data and source/freshness metadata') and adds an important safety caveat, which is adequate for a read-only data tool. However, the complete absence of parameter guidance (bbox/category) for a nested-object query leaves a real gap.

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 description coverage is 0% and the description never mentions the sole parameter (a nested query object with bbox and category). The unit line ('ft, kt, s, F, mi; directions FROM') is generic and does not explain how to filter spatially or by category, so it fails to compensate for the schema 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?

States a specific verb+resource: retrieving reported algae samples from a published agency dataset. An agent can distinguish it topically from siblings like get_red_tide, get_sargassum, and get_beach_bacteria, though it never names an alternative or explicitly delineates scope from them.

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?

There is no explicit when-to-use or when-not-to-use this tool versus the many sibling observation/water-quality tools. The only guidance is an interpretational caveat ('Empty reports do not establish safe conditions'), which governs reading results, not tool selection.

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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