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get_allowances

DSSR allowances by country

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.
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.

No schema history has been recorded yet.

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden and discloses almost nothing. It does not say the tool is read-only, whether results are a single record or a list, whether a missing country yields an empty result or an error, or what verification_url actually does to the payload — even though the schema shows it changes the response.

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?

At five words there is zero waste, but this is under-specification rather than true conciseness — the single fragment ends before conveying anything actionable. Nothing is front-loaded because there is essentially no content to order.

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?

For a four-parameter tool with no annotations and no output schema, the description should at minimum establish what is returned and how it differs from the location/postcode variants. Instead it leaves the agent to reconstruct all behavioral context from the schema.

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 the parameter docs are unusually rich (ISO code examples, ZZ caveat, alias handling for type, date format), so the schema already does the semantic work. The description adds nothing beyond it, which is the baseline-3 case rather than a failure.

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

Purpose3/5

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

The fragment 'DSSR allowances by country' names the resource (DSSR allowances) and its scope (by country), which does distinguish it from siblings like get_allowances_by_location and get_allowances_by_postcode. However, it is a noun phrase with no verb and never says what a DSSR allowance is or what 'get' returns, so an agent must infer the operation from the tool name alone.

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, no excluded cases, and no routing instruction. The sibling set contains at least three other allowance lookups (by_location, by_postcode, and per-diem variants), yet the description gives no rule for choosing among them beyond the implicit 'by country'.

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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