list_deck_templates
List available deck templates with their field schemas.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available deck templates with their field schemas.
| 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?
The annotations already cover the safety profile with readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds that the output includes field schemas, which is useful context, but it does not disclose any other behavioral details such as authentication requirements, pagination, or return shape.
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, front-loaded sentence with no filler. Every word earns its place: it names the action, the resource, and the notable output detail.
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 zero-parameter, read-only, idempotent listing operation, the description plus annotations provide everything needed to invoke the tool correctly. It names the return detail ('field schemas'), and the lack of side effects is already declared by annotations.
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?
There are zero parameters, so the description does not need to elaborate on input semantics. The empty input schema is sufficient, and the baseline of 4 applies because no parameter documentation burden exists.
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: 'List available deck templates'. It also adds that the list includes field schemas, which clarifies the output. However, it does not distinguish itself from the similarly named sibling tool list_templates, so it stops short of a full 5.
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?
No guidance is given about when to use this tool versus similar sibling tools such as list_templates, preview_template, or create_template. An agent must infer the right choice from the name alone, and the description does not mention any exclusions or alternatives.
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.
Most tools are clearly separated by resource (document vs deck) and lifecycle stage (create, preview, status, download). generate_deck and get_research_deck both produce decks and could be confused, and preview_template overlaps with the preview step inside fill_template, but descriptions mostly clarify intent.
All tool names follow a consistent snake_case verb_noun pattern (create_, list_, get_, save_, download_). The verbs are simple and each noun clearly identifies the target resource, making the set predictable.
11 tools is well-scoped for a document and deck generation server. Each tool covers a distinct step in the workflow without excessive fragmentation.
The document lifecycle (template -> fill -> preview -> status -> download) and deck workflow (templates -> generate/research -> save) are well covered. Minor gaps include no template update/delete and no way to list or retrieve saved decks, but agents can complete core tasks.