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get_allowances_by_location

DSSR allowances by location name

Input Schema

NameRequiredDescriptionDefault
dateNoSpecific date in YYYY-MM-DD format
typeNoFilter returned allowances. Unknown values are ignored.<br/>If not specified, all allowances are returned.<br/>Canonical values: cola, hardship, lqa, danger_pay, education, perdiem.<br/>Aliases accepted: cost_of_living, cost-of-living, danger, danger-pay, livingquarters.
locationYesLocation name, case insensitive
country_iso_codeYesISO 3166-1 alpha-2 country code, e.g. PG for Papua New Guinea; ZZ stands for 'Other Foreign Localities', not a country. Resolve a country name to its code with get_countries (q=name).
verification_urlNoIf 'True', will include a verification url in the payload, pointing to the official government source. This is useful to crosscheck that the API returns the proper data and for auditing.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral burden. It only states the resource and does not disclose required permissions, read-only status, return shape, pagination, or error behavior.

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

Conciseness3/5

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

The description is a single front-loaded phrase with no waste, but its brevity reflects under-specification rather than efficient structure for a five-parameter tool.

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?

With no annotations and no output schema, the description should compensate by covering required country code, filtering behavior, and verification_url. It does not, leaving essential context to the schema alone.

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 documents date, type, location, country_iso_code, and verification_url in detail. The description's 'location name' adds no meaning beyond the schema's location field; baseline 3 is appropriate.

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 phrase identifies the resource (DSSR allowances) and the lookup dimension (location name), which is enough to infer retrieval. However, it omits an explicit verb and never names sibling alternatives such as get_allowances or get_allowances_by_postcode, so it falls short of full differentiation.

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?

There is no when-to-use guidance or comparison to alternatives. The agent is not told when to choose this tool over get_allowances, get_allowances_by_postcode, or other DSSR location tools.

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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