scythian
Server Details
Grounds LLMs in real Scythian: Proto-Scythian lemmas, etymologies, Ossetian/Khotanese descendants.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.7/5 across 2 of 2 tools scored.
The two tools have clearly distinct purposes: search_scythian performs the primary lookup of lemmas or English glosses, while get_descendants_scythian is a fallback to retrieve the full descendants payload when not included inline. There is no ambiguity in their roles.
Both tools use snake_case and are descriptive. The pattern is consistent (verb_object for get_descendants_scythian, verb for search_scythian), though the first is more specific. This minor deviation does not hinder understanding.
With only 2 tools, the server feels minimal. However, for a highly specialized domain like Proto-Scythian etymology, the two tools cover the core workflow of searching and fetching details. The count is borderline but acceptable for a narrow focus.
The tools cover searching by lemma or English word and retrieving descendant details. There is no apparent gap for the stated purpose of looking up Scythian lemmas and their descendants, though additional utilities (e.g., listing all languages) could be added.
Available Tools
2 toolsget_descendants_scythianGet a Proto-Scythian entry's descendantsARead-onlyIdempotentInspect
Fetch the full descendants payload — etymology, glosses and the reflex tree (Sarmatian→Alanic→Ossetian, Saka→Khotanese) — for a lemma identified by a search result's descendant handle (entry_id + word_class). Use this only when a search ran without inline payloads or left a match un-expanded — a default search already returns each match's payload inline. Returns Markdown plus the payload as structuredContent with the shape {"result": } per the declared outputSchema — switch on result.category ('descendants' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
| Name | Required | Description | Default |
|---|---|---|---|
| entry_id | Yes | The bare lemma (no asterisk) from a search result's descendant handle, e.g. 'tiɣri', 'baga' — a typed leading asterisk is tolerated. | |
| word_class | Yes | The part-of-speech section from a search result's descendant handle, e.g. 'noun', 'adjective', 'proper noun'. |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint, destructiveHint. The description adds behavioral context: returns Markdown plus structuredContent, explains response shape and category handling, and notes content source (CC BY-SA). Slight overlap but adds useful detail.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single paragraph packs purpose, usage, output format, and attribution. Front-loaded with main action. Could be slightly more structured (e.g., separating usage from output), but remains efficient and clear.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given two params, output schema exists, and one sibling, the description covers all needed context: what, when, how to interpret response, and source attribution. No gaps identified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so baseline is 3. The description adds meaning by explaining parameters derive from a search result's descendant handle, gives examples, and clarifies that entry_id is bare lemma (asterisk tolerated). This extra context improves usability beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool fetches full descendants payload for a Proto-Scythian lemma, listing contents (etymology, glosses, reflex tree) and tree paths. It explicitly distinguishes from the sibling search_scythian by noting when to use this tool vs default search inline results.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states to use only when a search ran without inline payload or left a match un-expanded, and notes default search already returns inline payloads. It also provides response handling instructions (switch on result.category).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_scythianLook a Proto-Scythian word upARead-onlyIdempotentInspect
Look a Proto-Scythian lemma up on Wiktionary and return its senses plus its full descendants payload — the reconstructed etymology and the reflex tree down to Ossetian and Khotanese, attested scholarship, not invention. Plain ASCII spellings are folded to the reconstruction's diacritics and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists the lemmas whose glosses match it (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema.
Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The word to look up, in the language search_language names. Scythian (default): a SINGLE Proto-Scythian lemma — plain ASCII works ('tigri' finds *tiɣri: macrons and carons are folded, and ɣ→g, δ→d, β→b, ə→e, θ→t or th), with or without the reconstruction asterisk. English (search_language='eng'): the English word whose Proto-Scythian equivalents you want — matched against every entry's glosses. | |
| max_forms | No | Optional override for how many descendants payloads to expand this call (0–12). On an uncached query each payload is one politely paced upstream fetch, so high values on cold queries are slow. Omit for the server default. | |
| include_forms | No | When true (default), each match's full descendants payload — etymology, glosses and the reflex tree down to Ossetian and Khotanese — is returned INLINE in ONE call, no follow-up get_descendants_scythian. Set false for a cheap screen of which entries exist. Bounded by a per-search cap — use max_forms to adjust per call. For eng queries this governs the expanded entries; the matched-lemmas list itself is always returned. | |
| search_language | No | Language the query word is in: 'xsc' (default) looks the Proto-Scythian lemma up directly; 'eng' finds the lemmas whose English glosses match the query (the local gloss index — reconstructed languages have no translation tables) and returns their full entries. Glosses are in English either way. | xsc |
Output Schema
| Name | Required | Description |
|---|---|---|
| found | Yes | False when nothing matched. For an eng query, True means the gloss index named Proto-Scythian lemmas — entries may still be empty when none of them could be expanded (see translations). |
| query | Yes | |
| source | No | |
| entries | No | |
| handles | No | |
| language | Yes | |
| translations | No | Populated only for eng queries (always [] for xsc): the Proto-Scythian lemmas whose glosses match the query. Entries/handles below are the expanded dictionary entries of those lemmas. |
| resolved_from | No | The original query when resolved via the index; else empty. xsc queries only — always empty for eng results. |
| search_method | No | How the match was found: 'direct' = the query itself matched; 'lemma_index' = an ASCII/diacritic-folded spelling resolved via the reverse index; 'translations' = an English query resolved via the local gloss index. |
| resolved_lemma | No | The lemma actually searched when resolved; else empty. xsc queries only — always empty for eng results. |
| forms_truncated | No | How many handles did NOT get an inline descendants payload because the per-search cap was reached. |
| translations_truncated | No | How many distinct matched lemmas were NOT expanded into entries because the per-search expansion cap was reached (they still appear under translations). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond annotations, the description adds behavioral details: caching, rate limiting, polite first-time queries, ASCII spelling folding, and server default bounds. Annotations already indicate readOnly, idempotent, and non-destructive, and the description reinforces and extends this with practical operational information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is detailed but well-organized, with a clear first sentence stating the core function. It uses paragraphs to separate modes, caching, and licensing. Some repetition could be trimmed, but overall it is concise for the complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (4 parameters, output schema, sibling tool), the description covers all aspects: both search modes, parameter interactions, caching, rate limits, error handling, and attribution. The presence of an output schema obviates the need to describe return values, making the description complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the baseline is 3. The description adds value by explaining ASCII folding for the query, the practical limits of max_forms, and the effect of include_forms on sibling tool usage. It clarifies behavior beyond the schema's type/description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: lookup a Proto-Scythian word on Wiktionary and return senses and descendants. It also explains the English gloss search mode. It distinguishes itself from the sibling tool by mentioning that 'include_forms=true' returns data inline, avoiding a follow-up call to get_descendants_scythian.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit guidance: when to use the default mode vs English search, and when to set 'include_forms=false' for a cheap screen. It also advises on rate limiting (wait and retry) and caching behavior, helping the agent decide when to use the sibling tool.
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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