NexusForge EU Finance

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the data is 'seasonally adjusted' and from 'Eurostat,' which adds useful context about data quality and source. However, it doesn't disclose important behavioral traits like whether this is a read-only operation (implied but not stated), potential rate limits, authentication requirements, or what format/scope the data returns. For a data retrieval tool with zero annotation coverage, this leaves significant gaps.

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

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

The description is perfectly concise at two sentences with zero wasted words. The first sentence states the core purpose, and the second adds crucial qualifiers about data methodology and source. Every element earns its place, and the information is front-loaded with the most important details first.

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

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

Given the tool's moderate complexity (3 parameters, no output schema, no annotations), the description is adequate but has clear gaps. It explains what data is retrieved and some characteristics, but doesn't address return format, error conditions, or how this tool fits within the broader EU economic data ecosystem represented by sibling tools. The absence of an output schema means the description should ideally say more about what data structure to expect.

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

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

Schema description coverage is 100%, so the schema already fully documents all three parameters with clear descriptions, defaults, and constraints. The description adds no additional parameter semantics beyond what's in the schema - it doesn't explain parameter interactions, provide usage examples, or clarify edge cases. The baseline of 3 is appropriate when the schema does all the parameter documentation work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Get monthly unemployment rates'), resource ('for EU countries'), and key characteristics ('Seasonally adjusted, as % of active population. Source: Eurostat.'). It distinguishes this tool from siblings like get_eu_gdp or get_eu_inflation by focusing specifically on unemployment data rather than other economic indicators.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus the sibling tools. While it's clear this tool retrieves unemployment data, there's no mention of when you'd choose this over compare_eu_economies (which might include unemployment) or how it relates to other EU economic data tools. The agent must infer usage context from tool names alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.