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get_interpretation

Read-onlyIdempotent

Retrieve full Polish individual tax interpretation by ID from search results, including metadata and first 4000 characters of the full text.

Instructions

Pobiera pelna interpretacje indywidualna po ID (z wynikow 'search'). Zwraca metadane (sygnatura, data wydania/publikacji, teza) oraz pelna tresc (stan faktyczny, stanowisko wnioskodawcy, ocena organu, uzasadnienie) - pierwsze 4000 znakow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesID interpretacji (ID_INFORMACJI) z wynikow search, np. '694514'.
Behavior4/5

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

Annotations already mark the tool as read-only, open-world, idempotent, and non-destructive. The description adds useful behavioral details: it returns first 4000 characters of content and lists specific metadata fields. No contradictions.

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 two sentences, front-loaded with the verb 'Pobiera' (Fetches), and contains no superfluous information. Every sentence adds value.

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?

No output schema, but the description adequately explains what is returned (metadata fields and first 4000 characters of content). It is sufficient for a fetch operation, though error handling is not mentioned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the description adds value by providing a concrete example ('694514') and linking the parameter to search results, clarifying its origin beyond the schema.

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's purpose: retrieving a full individual interpretation by ID from search results, returning metadata and content. It distinguishes itself from siblings (search, search_by_signature, suggest) by specifying the ID-based retrieval from search results.

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 indicates usage after obtaining an ID from the 'search' tool, providing context for when to use this tool. It does not explicitly state when not to use it or list alternatives, but the context is clear.

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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