get_research_deck
Research a topic and generate a visual deck with charts and visualizations.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | What to research and visualize | |
| format | No | scrollytelling |
Research a topic and generate a visual deck with charts and visualizations.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | What to research and visualize | |
| format | No | scrollytelling |
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 declare openWorldHint=true, idempotentHint=false, and destructiveHint=false, but the description adds meaningful behavioral context: the tool generates visualizations and decks, implying non-deterministic output (due to research) and no destructive side effects. However, it does not disclose specifics like data sources, error handling, or if multiple calls yield different results, which would further clarify behavior beyond 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, concise sentence that clearly states the tool's purpose. Every word is necessary—no filler or redundancy. It is front-loaded with the key verbs and resource, making it easy to scan.
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 has 2 parameters (both simple types), no output schema, and moderate annotations, the description is adequate but not complete. It covers the core purpose and parameter hints, but lacks details on output structure, behavior with different formats, or edge cases (e.g., empty topic). The presence of sibling tools suggests more guidance would help the agent select correctly.
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 50%, so the description partially compensates. The 'topic' parameter is explained in the schema as 'What to research and visualize', which aligns with the description. The 'format' parameter is documented only via an enum, but the description's mention of 'visual deck' and 'charts and visualizations' hints at output style. Still, the description could explicitly describe each parameter's role to fully compensate for the coverage gap.
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: 'Research a topic and generate a visual deck with charts and visualizations.' It uses a specific verb ('Research' and 'generate') and names the resource ('visual deck'). However, it does not differentiate from siblings like 'create_template' or 'save_deck', which could overlap in function, so it loses a point.
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 no guidance on when to use this tool versus alternatives. Given the siblings (like 'fill_template', 'preview_template', or 'save_deck'), there is no explicit context for selecting this tool, nor any mention of prerequisites or exclusions.
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.