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ocean_sst_anomaly

Retrieve sea surface temperature anomaly at any global location to monitor El Niño/La Niña conditions and climate variability.

Instructions

Sea surface temperature anomaly — El Nino/La Nina indicator and climate monitoring.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude
lngYesLongitude
Behavior2/5

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

With no annotations, the description must disclose behaviors. It only states the tool is an indicator for El Nino/La Nina. It does not mention that it returns a value, requires permissions, or any side effects. This is insufficient for a data retrieval tool.

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

Conciseness5/5

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

The description is a single concise sentence that efficiently conveys the tool's subject and use. No wasted words.

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

Completeness2/5

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

Given the tool has no output schema and no annotations, the description is too sparse. It does not explain what the anomaly value represents, its range, time period, or how to interpret results. More context is needed for effective use.

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 100%, so the schema already provides meaning for lat and lng. The description adds no additional parameter context (e.g., units, data range). Baseline 3 is appropriate as it does not harm but also does not enhance.

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 clearly states the tool is for sea surface temperature anomaly and connects it to El Nino/La Nina and climate monitoring. However, it lacks an explicit verb like 'retrieves' or 'gets', which would clarify the action. It differentiates from sibling tools like ocean_chlorophyll by focusing on anomaly, but not explicitly.

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?

No guidance is provided on when to use this tool versus alternatives. The description implies use for climate monitoring but does not give explicit when-to-use or when-not-to-use context.

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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