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get_perdiem_allowance_by_postcode

DSSR per diem by location post code

Input Schema

NameRequiredDescriptionDefault
dateNoSpecific date in YYYY-MM-DD format
postcodeYes5-digit DSSR post code (no zero-padding)
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

C2.4/5.0
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 burden, yet it says nothing about what DSSR means, how the date parameter defaults when omitted, what the payload looks like, or whether results vary by date. The only behavioral hint (verification URL) lives in the schema, not the description.

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

Conciseness2/5

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

It is short but under-specified rather than concise: a four-word fragment with no sentence structure, no punctuation, and no front-loaded statement of what the tool returns. Brevity here costs clarity rather than saving it.

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 4-parameter tool with no annotations and no output schema, the description supplies no domain context, no return-value expectation, and no indication of how date affects results. Everything an agent knows must come from the schema alone, leaving the description functionally incomplete.

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 schema itself is rich: it constrains postcode to a 5-digit integer, lists ISO examples, notes ZZ handling, and routes country resolution to get_countries. The description adds nothing beyond that, so baseline 3 applies.

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 phrase names a resource (DSSR per diem) and a lookup dimension (post code), so the agent knows roughly what it retrieves. However it is a fragment with no verb and no differentiation from the many sibling postcode/per-diem tools (get_perdiem_allowance_by_location, cola_calculator_by_postcode, get_gsa_perdiem_by_zipcode), so an agent cannot confidently pick it over those.

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 prerequisite, and no named alternative among a dense sibling set that includes several other per-diem-by-postcode/zipcode tools. The 'by location post code' phrasing only hints at the input shape, not at selection criteria.

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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