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Get Livonian inflection table

livonian_get_inflections
Read-onlyIdempotent

Fetch the full declension (nouns) or conjugation (verbs) table for a word identified by a search result's inflection handle (entry_id + word_class) — the exact case, number, tense, not a guessed ending. Use this only when a search ran without inline forms, or to fetch a match a broad search left un-expanded. Never a first call — the handle values only come from livonian_search results, and a default search already returns each match's table inline, so calling this afterwards just re-fetches what you have.

Returns Markdown — a nominal gets one case × {singular, plural} table; a verb gets a table per mood/tense (person × {affirmative, negative}, the negation auxiliary folded into the negative) plus its principal-parts and participle lists — or a clean not-found message. (Grammatical labels are normalised to English; Livonian forms stay verbatim.) The same table rides along as structuredContent with the shape {"result": } per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Results are cached server-side (repeats are instant) and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Table content is from livonian.tech (CC BY-SA 4.0 — attribute if republished).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entry_idYesThe word id from a search result's inflection handle. Accepts a number or a digit-string (e.g. 17746 or "17746").
word_classYesThe word-class code from a search result's inflection handle (e.g. 's' = noun, 'adj' = adjective, 'vi' = intransitive verb, 'vt' = transitive verb).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed7 schema fields changed
    • addedInput schema / properties / word_class / enum
      Added value: +[
      +  "adj",
      +  "s",
      +  "vi",
      +  "vt"
      +]
    • removedInput schema / properties / word_class / maxLength
      Removed value: -8
    • removedInput schema / properties / word_class / minLength
      Removed value: -1
    • removedInput schema / properties / word_class / pattern
      Removed value: -"^[a-z]+$"
    • changedOutput schema / $defs / NominalParadigm / properties / source / default
      Previous value: -"Ernštreits, Valts (ed. in chief), Viitso, Tiit-Rein, Kurpniece, Milda & Vāvere, Signis. 2024. Livonian morphology database. Riga: University of Latvia Livonian Institute. https://livonian.tech/ (CC BY-SA 4.0)"New value: +"Ernštreits, Valts (ed. in chief), Viitso, Tiit-Rein, Kurpniece, Milda & Vāvere, Signis. 2024. Livonian morphology database. Riga: University of Latvia Livonian Institute. https://livonian.tech/ (CC BY-SA 4.0: https://creativecommons.org/licenses/by-sa/4.0/) Adapted: reformatted and condensed from the original."
    • changedOutput schema / $defs / ParadigmNotFound / properties / source / default
      Previous value: -"Ernštreits, Valts (ed. in chief), Viitso, Tiit-Rein, Kurpniece, Milda & Vāvere, Signis. 2024. Livonian morphology database. Riga: University of Latvia Livonian Institute. https://livonian.tech/ (CC BY-SA 4.0)"New value: +"Ernštreits, Valts (ed. in chief), Viitso, Tiit-Rein, Kurpniece, Milda & Vāvere, Signis. 2024. Livonian morphology database. Riga: University of Latvia Livonian Institute. https://livonian.tech/ (CC BY-SA 4.0: https://creativecommons.org/licenses/by-sa/4.0/) Adapted: reformatted and condensed from the original."
    • changedOutput schema / $defs / VerbalParadigm / properties / source / default
      Previous value: -"Ernštreits, Valts (ed. in chief), Viitso, Tiit-Rein, Kurpniece, Milda & Vāvere, Signis. 2024. Livonian morphology database. Riga: University of Latvia Livonian Institute. https://livonian.tech/ (CC BY-SA 4.0)"New value: +"Ernštreits, Valts (ed. in chief), Viitso, Tiit-Rein, Kurpniece, Milda & Vāvere, Signis. 2024. Livonian morphology database. Riga: University of Latvia Livonian Institute. https://livonian.tech/ (CC BY-SA 4.0: https://creativecommons.org/licenses/by-sa/4.0/) Adapted: reformatted and condensed from the original."
  2. Added

TDQS

A4.8/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing return shape (Markdown tables per word class, not-found message), server-side caching, rate limiting with retry guidance, license/attribution requirements, and label normalization. The annotations already cover read-only/idempotent safety, so this adds genuinely new operational context.

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

Conciseness4/5

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

Front-loaded with the core action and the negative guidance, then moves to return format and operational notes. Dense but every sentence carries usable information; the parenthetical license and normalization notes are slightly parenthetical clutter but still earn their place.

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?

With an output schema present, the description needn't restate the return contract, yet it usefully bridges it by naming result.category values ('nominal' | 'verbal' | 'not_found') to switch on. Prerequisite, non-first-call constraint, failure behavior, and rate limits are all covered.

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% and the description still adds provenance: both params come from a search result's 'inflection handle' and must be passed together, which is meaning the schema alone doesn't convey. It does not restate the accepted digit-string or enum codes, so it stays complementary rather than duplicative.

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?

States a specific verb (fetch) and resource (declension/conjugation table) and pins the scope precisely: 'the exact case, number, tense, not a guessed ending.' It is clearly distinguishable from livonian_search, which produces the handle this tool consumes.

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

Usage Guidelines5/5

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

Explicit when-to-use ('only when a search ran without inline forms, or to fetch a match a broad search left un-expanded'), explicit when-not ('Never a first call', 'calling this afterwards just re-fetches what you have'), and it names the prerequisite source (livonian_search results) for the handle values.

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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