Ncrypt
Server Details
Share documents privately from an AI agent. The agent gets a link; it cannot read the file.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
TDQS
Scored across 4 tools
create_share_link uploads a new document and returns a link, while add_share_link generates an extra link for an existing document; the distinction is clear from descriptions though names are similar. All four tools target distinct actions, so misselection is unlikely.
All tools share the ncrypt_ prefix and snake_case verb_noun pattern (add_share_link, create_share_link, get_view_analytics, list_documents). Consistent and predictable.
Four tools is a compact, well-scoped set for the core workflows of document sharing and analytics; each tool has a clear purpose and none is redundant.
The server lacks operations to approve or deny download requests, revoke or delete share links, and manage document permissions, despite the description stating downloads require owner approval. These gaps in the lifecycle will block common agent tasks.
Available Tools
4 toolsncrypt_get_view_analyticsGet view analyticsBInspect
Return who viewed a document, when, on what device and for how long.
| Name | Required | Description | Default |
|---|---|---|---|
| documentId | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It usefully names the returned fields (viewer, timestamp, device, duration), which is real value given there is no output schema, but it says nothing about authorization requirements, privacy masking of viewer identities, result limits, or whether long-term historical data is retained.
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?
One compact sentence that front-loads the action and lists the enums of the response in a scannable order. Zero padding or restatement of the name.
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-annotation, no-output-schema tool it does describe the return payload, which is the most important missing structured information. However, permission requirements and the format of the required documentId are absent, leaving meaningful gaps before an agent could call it reliably.
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% for the single parameter, and the description only alludes to it as 'a document'. It does not specify whether documentId is a raw ID, a UUID, or a path/URL, nor any constraints, so it fails to compensate for the undocumented schema.
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?
States a specific verb ('Return') and resource ('view analytics') and enumerates the exact payload dimensions (who, when, device, duration), so an agent immediately knows what data this yields. It does not explicitly contrast itself with the sibling tools, but those are share-link and document-listing operations that are plainly unrelated.
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?
There is no guidance on when to call this versus alternatives, and no prerequisites stated, such as whether the caller must own the document or have analytics permissions. The agent is left to infer that this is an analytics lookup for a document it already has an ID for.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ncrypt_list_documentsList shared documentsAInspect
List the documents in the owner's Ncrypt workspace with their share codes and view counts.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It discloses the return fields (share codes, view counts), which signals a read-only listing, but says nothing about pagination, result limits, ordering, or auth requirements for a workspace listing.
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?
A single front-loaded sentence that states the action, scope, and returned data with zero filler. Every clause 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 zero-parameter read tool with no output schema and no annotations, the description conveys what is returned (documents with share codes and view counts). It is largely sufficient, though pagination and ordering behavior remain unstated.
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 takes zero parameters and the schema coverage is 100%, so there is nothing for the description to document. Baseline 4 for a no-parameter tool is appropriate; the description neither adds nor omits parameter guidance.
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?
States a specific verb (List) and resource (documents) and scopes it to the owner's Ncrypt workspace, plus names the returned fields (share codes, view counts). It does not explicitly contrast with siblings like ncrypt_get_view_analytics, so it falls short of a 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?
Usage is only implied: an agent can infer you call this to enumerate documents in your workspace. There is no explicit when-to-use vs when-not, and no guidance on how this differs from ncrypt_get_view_analytics, which also surfaces view counts.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
4 tool updates
- First observed
ncrypt_add_share_link - First observed
ncrypt_create_share_link - First observed
ncrypt_get_view_analytics - First observed
ncrypt_list_documents
Related MCP Connectors
Upload any file, get a tracked shareable link. DocSend for AI agents.
Give anything your AI makes a real, private-by-default link. Say "share this with Bauta."
Publish a file from an agent and get a durable beecargo.net/d/{shortId} share link.
Share HTML and Markdown files from AI agents within your company, with versions and comments.
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