Preview a structured slide outline from CSV, JSON, or a topic. The public MCP tool returns a free outline preview; it does not generate or sell a PowerPoint deck.
Preview slide-deck outlines from a topic or inline CSV/JSON, then continue creation in OutSlide. Provide a topic or inline CSV/JSON; the result returns a continue_url for building the full presentation in the OutSlide workspace.
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | Inline CSV/JSON dataset to outline a data->deck from. | |
| topic | No | Topic/brief to outline. Provide this OR `data`. | |
| language | No | Supported language code; defaults to auto. | |
| n_slides | No | Outline length; defaults to 8. | |
| data_format | No |
| Name | Required | Description |
|---|---|---|
| ok | Yes | |
| tier | Yes | preview |
| outline | Yes | Per-slide {title, brief} — titles + a one-line brief each, NO images/exports. |
| handoff_id | Yes | Opaque identifier for measuring the preview-to-signup handoff. |
| continue_url | Yes | Open this OutSlide URL to continue the same topic in the full web presentation flow. |
| upgrade_hint | No | How to continue into the full web presentation flow. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral disclosure burden. It does disclose that the tool returns a continue_url and that it is a preview-oriented step, which is useful. However, it does not mention potential side effects, rate limits, data handling, or what occurs if both topic and data are provided, leaving some behavioral ambiguity.
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 two sentences, front-loads the primary purpose, and immediately gives the input requirement and the expected output. Every clause earns its place; there is no redundancy or filler.
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?
The description covers the essential workflow: input selection and return of a continue_url. With an output schema present and the parameter details already in the input schema, the description is sufficiently complete for an agent to invoke the tool correctly. Minor gaps like conflict handling between `topic` and `data` are not explicitly addressed but are inferable from the schema.
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 schema already describes most parameters, and the description adds meaningful guidance by emphasizing that the agent should provide either `topic` or `data` (mutual exclusivity). It also clarifies the data-to-deck relationship. Since schema coverage is 80%, the description adds value beyond the schema without needing to repeat every parameter.
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 names a specific verb ('Preview'), a specific resource ('slide-deck outlines'), and the two input modes ('topic or inline CSV/JSON'). It also states the follow-up action ('continue creation in OutSlide') and the key output ('continue_url'), making the tool's purpose immediately clear.
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 implies the appropriate use case: preview an outline before building a full presentation in OutSlide. It clearly instructs the agent to provide either a topic or inline CSV/JSON, and explains what happens next. There are no sibling tools or explicit when-not-to-use conditions, so it stops short of a full 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.
HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at /.well-known/glama.json on the same origin as the connector, then choose Check HTTP challenge.
DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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Add one secure layer between your agents and this server.
With only one tool, there is no possibility of confusion. The purpose of the tool is clearly described.
The single tool name follows a clear verb_noun pattern ('preview_outline') with a consistent server prefix. There are no other tools to create inconsistency.
A single tool is too few for a server named OutSlide, which implies slide deck management. The tool only previews outlines and hands off to an external workspace, making the server feel like a thin stub.
The server only covers previewing outlines via a URL redirect. It lacks any actual create, update, delete, or list operations for slide decks, leaving significant gaps for a slide-oriented tool.