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OnlyFins Trout Talk

When do the trout feed?

feeding_report

Feeding report for anglers and researchers: is this a good feeding hour right now, the best feeding hours so far, and feeding moves, darts and holds by hour of day, water clarity and flow (per 10 fish-minutes on camera), with how much hand validation the labels have had. Links to the open CSV data.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose useful behavior: the data is camera-derived, normalized per 10 fish-minutes, and carries a stated level of hand validation, plus links to open CSV data. However, it never states that the call is read-only and side-effect free, nor anything about freshness, latency, or how 'right now' is determined.

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?

It is a single sentence with no filler, and the core purpose is front-loaded. But the long comma-chained enumeration of metrics makes it dense and harder to scan than a short purpose sentence followed by a compact list would be.

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?

There is no output schema, so the description must convey what comes back, and it does: current feeding status, historical best hours, behavior counts by hour, water clarity/flow, and validation level. Combined with the zero-parameter schema, an agent has enough to call it correctly, though a hint about data recency would close the remaining gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly implies a parameterless call that returns the current report.

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 (a trout feeding report) and enumerates its contents: current feeding-hour quality, best hours so far, moves/darts/holds by hour, water clarity and flow, and label validation. That is far more concrete than the title alone and clearly separates it from siblings like water_report or trout_now. It stops short of explicitly stating how it differs from those overlapping tools.

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?

Usage is only implied through phrasing like 'is this a good feeding hour right now', which suggests a live assessment use case. There is no explicit when-to-use/when-not guidance and no named alternative among the many sibling tools, so the agent must infer 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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