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Get average salary benchmark

get_salary_benchmark

Get the gross average annual salary for a country and sector, based on OECD and Eurostat public data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectorYesSector code, e.g. it, finance, national (see list_options)
countryYesCountry code, e.g. USA, UK, DE, EE (see list_options)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
sectorYes
averageYes
countryYes
currencyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose that the figure is gross, annual, and average, plus the public data sources. It omits currency/unit handling, behavior for missing country-sector pairs, and any latency or coverage caveats.

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?

A single front-loaded sentence that names the metric, the dimensions, and the source with zero filler.

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?

An output schema exists and the input schema is fully documented, so return values and params need not be explained. The description adequately frames a simple read-only lookup, missing only minor detail on currency/units and lookup failure behavior.

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% and both params are documented in the schema, so the baseline is 3. The description only restates the same two dimensions with no additional syntax, format, or enumeration detail beyond the schema.

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 and resource ('Get the gross average annual salary') with an explicit scope (country and sector) and data provenance (OECD/Eurostat). It is clearly distinguishable from compare_salary and list_options by resource, though it doesn't explicitly name those siblings.

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 when-to-use guidance, no exclusions, and no routing to alternatives like compare_salary. It also never mentions list_options, even though the schema defers valid country/sector codes to it — that routing exists only in the schema, not the description.

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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