교서 목록
list_books원불교 교서 15책의 목록과 절 수. 어떤 책이 있는지 모를 때 먼저 부른다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_books원불교 교서 15책의 목록과 절 수. 어떤 책이 있는지 모를 때 먼저 부른다.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the tool as read-only and non-destructive. The description adds behavioral context by specifying the exact output contents (book list and section counts) and its role as the recommended first call, which is useful beyond the annotations.
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 a single, efficient sentence that front-loads the core purpose and follows with the usage scenario. Every word earns its place.
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?
For a no-parameter, read-only list tool with no output schema, the description is complete: it states what is returned, how many items, and when to call it. No critical context is missing.
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?
The tool has zero parameters, so the baseline is 4. The description does not need to explain parameters, and it correctly implies that no input is required to retrieve the complete list.
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 states a specific verb and resource: it lists the 15 Won-Buddhist scriptures along with their section counts. It also differentiates the tool from siblings by framing it as the initial discovery step when the user does not know which books exist.
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 gives clear usage context: call this first when you do not know which books are available. It does not explicitly name alternatives or state when not to use it, but the guidance is sufficient for this simple list tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool maps to a distinct operation: structural navigation, passage reading, related-passage discovery, book listing, dictionary lookup, scripture search, and hymn search. There is no meaningful overlap, and tools such as search_scripture and lookup_dictionary are clearly differentiated by corpus and lookup behavior.
All tool names follow the same snake_case verb_noun pattern: get_outline, get_passage, get_related, list_books, lookup_dictionary, search_scripture, search_sungga. The verbs are uniform in style and the object of each action is immediately clear.
Seven tools is well-scoped for a scripture research server, covering navigation, reading, searching, dictionary lookup, cross-referencing, and hymn lookup. Each tool earns its place and none feels redundant or unnecessary.
The tool surface covers the full research workflow: discovering books, navigating outlines, reading and citing passages, full-text searching, dictionary lookup, related-passage discovery, and hymn search. Search results return ids that feed into get_passage, and dictionary footnotes are linked via ids, so there are no obvious dead ends.