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Get salary data

get_salary_data
Read-only

Get salary benchmarks for remote jobs by job title, with optional seniority and country filters. Returns min, max, and median salary in USD.

Input Schema

NameRequiredDescriptionDefault
countryNoCountry slug to filter by (e.g., 'united-states', 'united-kingdom', 'germany')
job_titleYesJob title to look up salary for (e.g., 'software-engineer', 'product-manager', 'data-scientist'). Use hyphens instead of spaces.
seniorityNoSeniority level (e.g., 'senior', 'junior', 'lead', 'mid')

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuine value by disclosing the return shape and currency (min, max, median in USD), but says nothing about data freshness, coverage limits, or behavior when a title has no benchmark data.

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?

Two tight sentences: the first front-loads what is retrieved and how it is filtered, the second states the returned metrics. There is no filler or redundancy.

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?

With no output schema, the description usefully compensates by enumerating the returned fields and currency. It stops short of covering edge cases (unknown title, no data for a country/seniority pair, pagination), which would be the remaining gap for a lookup tool.

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%, with every parameter documented with examples and slug formats. The description restates that seniority and country are optional filters, which is consistent but adds no syntax or format detail beyond what the schema already gives, so the baseline of 3 applies.

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

Purpose5/5

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

The description states a specific verb (get) and resource (salary benchmarks for remote jobs) and names the two optional axes of filtering (seniority, country). It is unmistakably distinct from the surrounding job/profile/company-management siblings, so an agent can select it without opening the schema.

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: the agent can infer this is the tool for looking up pay when a job title is known, and that seniority/country are optional refinements. There is no explicit when-to-use, no exclusion of adjacent tools like get_remote_work_statistics or get_job_details, and no note on prerequisites.

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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