Skip to main content
Glama

cityparity — Cost-of-Living & Quality-of-Life Comparison

Look up inbound-worker tax regime for a city

get_inbound_tax_regime
Read-onlyIdempotent

Look up a city's inbound-worker tax regime, the special reduced-tax schemes for relocating workers that general cost-of-living tools do not surface. Returns regime=null when the country has no modeled regime, which is most cities. Modeled across 13 regimes in Belgium, Denmark, Germany, Greece, Ireland, Italy, Netherlands, Norway, Poland, Portugal, Spain, Sweden and the UK. Roughly half grant an actual reduction (a reduction_pct or a flat_rate) and the rest are note-only: the regime exists but grants a relocating employee nothing, so reduction_pct and flat_rate are null and the take-home is computed on ordinary tax. Each entry returns the mechanic, duration, income cap if any, and a note stating the salary floor where one exists and which eligibility conditions we do not test. Read-only, no side effects; returns a text summary plus structured JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity slug. Use list_cities to discover valid slugs. Most cities return regime=null because their country has no special inbound-worker tax regime.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYes
slugYes
regimeYes
countryYes
disclaimerNo
methodology_urlYes

TDQS

A4.5/5.0
Behavior5/5

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

The description discloses significant behavioral details beyond the annotations, including that regime=null for most cities, the distinction between actual reduction and note-only regimes, and that reduction_pct and flat_rate are null for note-only regimes. It also states the tool is read-only with no side effects, and explains the return format (text summary plus structured JSON). This exceeds what annotations alone provide.

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 long but every sentence contributes essential information: the core purpose, null semantics, country coverage, regime types, and return content. It is front-loaded with the main action and progresses logically without redundancy, making it appropriately sized for the tool's complexity.

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

Completeness5/5

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

Given the tool's complexity, the description thoroughly covers edge cases and return values, explaining null behavior, note-only regimes, what fields are null, and what each entry contains. With an output schema present, the description still adds necessary context about the tool's limitations and eligibility conditions not tested, making it complete for correct selection and invocation.

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 coverage is 100% for the single city parameter, so the baseline is 3. The description does not add additional semantics beyond the schema; it only reiterates that the tool looks up a city. The schema already provides the city slug hint and the reference to list_cities, so the description adds minimal parameter-level value.

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 clearly states the tool looks up a city's inbound-worker tax regime, using the verb 'look up' and specifying the resource. It distinguishes from siblings by noting it surfaces special reduced-tax schemes that general cost-of-living tools do not, which differentiates it from get_city_summary or get_safety_net.

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

Usage Guidelines4/5

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

The description provides clear context for when to use the tool: when you need a city's inbound-worker tax regime, especially the special reduced-tax schemes not covered by general cost-of-living tools. It also notes that most cities return null, implying this tool will often yield no data, but it does not explicitly name alternative sibling tools or state when not to use it.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.7/5.0
Disambiguation5/5

Each tool serves a distinct purpose: listing cities, summarizing one city, comparing two, ranking many, looking up tax regimes, and batch safety nets. Descriptions explicitly guide when to use each, eliminating ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., compare_cities, get_city_summary). The verbs are appropriate for the action, and there is no mixing of conventions.

Tool Count5/5

With 6 tools, the count is well-scoped for a cost-of-living comparison server. It covers essential operations without being too few or too many, fitting the typical 3-15 range.

Completeness4/5

The tool set covers discovery, summary, comparison, ranking, tax regimes, and safety nets. A minor gap is the lack of a detailed single-city cost breakdown (only headline costs in get_city_summary), but overall it's fairly complete.