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SihyeonJeon

legend-saju

by SihyeonJeon

Analyze a Korean name

legend_saju_analyze_name
Read-only

Answers Korean naming, Hanja, stroke-count, and 81-number questions. Separates legal Hanja rules, declared stroke standards, and birth-based guidance.

Instructions

Use this for 작명, 성명학, 81수, 이름 한자, 인명용 한자, 획수, or 파자 questions. It keeps legal Hanja observations, declared stroke standards, and birth-based naming guidance separate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
birthNo
questionYesName, Hanja, stroke-count, or naming question.
maxClaimsNoMaximum interpretation points and raw claims returned outside debug mode.
outputModeNoBackward-compatible developer projection override. Ordinary callers should use detailLevel instead.
detailLevelNoPreferred depth. brief is shortest, standard is the default readable answer, expert automatically composes question-relevant deep methods and evidence in one call, and raw is the complete developer record.
givenStrokesNo
surnameStrokesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo
errorNo
claimsNo
routesNo
blockedNo
dossierNo
sourcesNo
evidenceNo
questionNo
sectionsNo
timelineNo
conflictsNo
selectionNo
inputNotesNo
detailLevelNo
limitationsNo
nameAnalysisNo
noModelCallsNo
dreamAnalysisNo
executionPlanNo
methodAnalysisNo
readingSummaryNo
recommendationsNo
calculationSummaryNo
omittedTimelineYearsNo
interpretationBoundaryNo
publicationSideEffectsNo
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description adds value by stating a concrete behavioral contract: it keeps legal Hanja observations, declared stroke standards, and birth-name guidance separate. This is beyond the annotations and is useful for setting agent expectations about how the tool organizes its output.

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?

Two sentences, front-loaded with the core usage instruction and then a precise behavioral note. Every sentence contributes meaning and there is no redundancy.

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?

Given the tool's complexity (nested name/birth objects and many optional parameters), the description provides the right high-level guidance without duplicating the schema. The output schema and numerous parameter descriptions cover invocation details, although the sparse coverage of some stroke parameters keeps this from a 5.

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

Parameters2/5

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

Schema description coverage is 50%, so the description must compensate for undocumented parameters like givenStrokes and surnameStrokes. It does not mention any parameter names, types, or composition rules beyond general domain keywords. The schema itself carries most of the parameter burden, but half of the parameters remain not described.

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 names a specific verb ('Use this for') and lists concrete question types: 작명, 성명학, 81순, 이름 한자, 인명용 한자, 획수, and 파자. It also explains what the tool separates (legal Hanja observations, declared stroke standards, and birth-based naming guidance), making it clearly distinct from sibling tools like compatibility or fortune reading.

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 opening phrase 'Use this for' gives an explicit when-to-use instruction, and the listed Korean keywords define the exact domain. However, it does not explicitly say when not to use it or point to an alternative sibling, so it stops short of a full when-not/alternative guide.

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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