Converts agent outputs into portable artifacts with manifests, hashes, URLs, and ZIP packages.
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Average 4/5 across 1 of 1 tools scored.
There is only one tool, so there is no possibility of confusion between tools. The tool's purpose is clearly distinct simply by being the only option.
With a single tool, the naming is trivially consistent. 'prepare_artifact' follows a clear verb_noun convention, which is a fine pattern.
Having only one tool feels too thin for a server that promises artifact handoff. The scope seems narrow but still would benefit from at least a few related operations (e.g., retrieve or list artifacts) to be a useful standalone server.
The server only supports preparing artifacts for transfer, with no tools to retrieve, manage, or delete them. This creates significant gaps in the lifecycle, as an agent cannot perform any follow-up actions.
prepare_artifactAInspectPrepare content for transfer to another agent or a human reviewer.
`target_modes` accepts either a JSON list or an actual list of MIME types.
The result includes expiring artifact URLs, SHA-256 hashes, a manifest,
and a downloadable ZIP package.
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | ||
| filename | No | artifact.md | |
| ttl_hours | No | ||
| media_type | No | text/markdown | |
| target_modes | No |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It mentions that target_modes accepts a JSON list or an actual list, and that the result includes expiring URLs, SHA-256 hashes, a manifest, and a ZIP package. This is useful but does not cover potential side effects, permission requirements, or data retention implications. It is adequate but not rich.
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 concise, with two short sentences plus a line break. It front-loads the primary purpose and adds key details without filler. Every sentence serves a purpose, making it highly efficient.
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 tool with 5 parameters and an output schema, the description provides sufficient context: what it does, what it returns, and the main parameter nuance. It does not explain every parameter, but the defaults and names cover the rest. Overall, it is complete enough for effective tool selection and invocation.
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 0%, so the description must compensate. It explains the non-obvious target_modes parameter in detail, but does not elaborate on content, filename, ttl_hours, or media_type. Those are largely self-explanatory from their names and defaults, so the description partially compensates but not fully.
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: 'Prepare content for transfer to another agent or a human reviewer.' It uses a specific verb and resource, and while there are no sibling tools to differentiate from, the purpose is unambiguous and directly aligned with the tool name.
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 clear context on when to use the tool: for transferring content to another agent or a human reviewer. It does not explicitly state when not to use it or mention alternative tools, but the given context is sufficient for most cases, placing it at a 4 rather than a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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
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.
No comments yet. Be the first to start the discussion!