LNX link in bio
Server Details
Build a free link-in-bio page (lnx.net/name) for the user from their links, socials and bio.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 2 tools
check_username (availability lookup) and create_page (page generation) target clearly distinct actions with no overlap. An agent can unambiguously pick the right tool for either checking or building a page.
Both names follow a clean snake_case verb_noun pattern (check_username, create_page). The convention is uniform and predictable.
Two tools is on the thin side even for a narrow link-in-bio flow; there is no way to list, update, or delete existing pages. It is defensible for a minimal MVP but feels borderline sparse.
The check-then-create core flow is covered, but the lifecycle beyond creation (editing, publishing status, updating links/socials, deleting a page) is handled outside the tool surface via the browser. Agents cannot manage a page after it is created, leaving notable gaps.
Available Tools
2 toolscheck_usernameCheck an lnx.net usernameARead-onlyInspect
Checks whether lnx.net/ is free, and suggests alternatives if not.
| Name | Required | Description | Default |
|---|---|---|---|
| username | Yes | Desired username. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuine context beyond that: it discloses the alternative-suggestion behavior when the name is taken, which an agent could not infer from the schema or 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?
One sentence, front-loaded with the core check and ending with the fallback behavior. No redundant restatement of the name or title, and nothing to trim.
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 single-parameter, read-only availability check with no output schema or nested objects, the description covers what it does and what happens on failure. It is essentially complete, though it could note the result format of the check.
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 100% and the single 'username' parameter is documented in the schema as 'Desired username.' The description adds no format, length, or validation constraints beyond what the schema provides, so baseline 3 applies.
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 ('Checks whether ... is free') and a concrete resource (lnx.net/<username>), plus the fallback behavior of suggesting alternatives. It does not explicitly contrast itself with the create_page sibling, but the read-vs-create distinction is inferable.
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 'suggests alternatives if not' clause implies this is a pre-flight availability check to run before create_page, but the description never says when to use it or names create_page as the follow-up action. Usage is implied rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_pageCreate a link-in-bio pageAInspect
Builds a free link-in-bio page on lnx.net from the user's name, links, socials and bio, and returns a claim_url. The user opens it, sees the finished page, can edit it, and publishes it to lnx.net/ with a free account. Nothing goes public until they do.
| Name | Required | Description | Default |
|---|---|---|---|
| bio | No | Short plain-text bio, max 1000 chars. Blank lines separate paragraphs. | |
| name | Yes | Display name of the person or brand, shown as the page title. | |
| links | No | Link buttons, in display order (max 20). Websites, shops, booking pages, newsletters, latest release, etc. | |
| theme | No | default = centered, round photo; boxy = full-width cover image; big-image = large photo beside the content. | |
| socials | No | Social profiles shown as icons (max 10). Anything not in the platform list goes in links. | |
| tagline | No | One-line subtitle under the name, e.g. "Ceramic artist in Lisbon". Max 120 chars. | |
| username | No | Desired address lnx.net/<username>: 3-30 lowercase letters, digits, _ or -. Omit to derive one from name. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the non-readonly, non-destructive, non-open-world profile, and the description adds real value beyond them: it discloses the returned claim_url, the ownership/claim flow, that a free account is required to publish, and critically that nothing goes public until the user acts. It omits anything on retries/idempotency or username-collision handling.
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?
Three tight sentences with the core action and inputs front-loaded, followed by the lifecycle outcome. Every sentence earns its place and nothing is repeated.
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 7-parameter mutation tool with no output schema, the description supplies the missing pieces an agent needs: the claim_url return and the non-public-until-published state, backed by annotations covering the safety profile. Only the check_username relationship and failure modes are absent.
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 100%, so every parameter including nested link/social fields, theme enum, and the username derivation rule is already documented. The description only restates that content comes from name, links, socials and bio, adding no syntax or constraint detail beyond the schema, so the baseline 3 applies.
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?
Specific verb + resource + scope: it builds a free link-in-bio page on lnx.net from named inputs and returns a claim_url. The draft-until-published semantics make the tool's role clear. It does not name or distinguish itself from the sibling check_username, so it stops 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?
The description explains the post-call lifecycle (open, view, edit, publish with a free account) which implies when this tool applies, but it gives no explicit when-to-use rule and never mentions the sibling check_username for validating the desired address. Usage is implied rather than stated.
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.
2 tool updates
- First observed
check_username - First observed
create_page
Related MCP Connectors
AI agent website builder. Create and publish link-in-bio sites via MCP or REST API.
- SnaptoOAuthlink.snapto
Manage your Snapto link-in-bio page: links, social icons, and visit and click analytics.
Build owned-audience websites: pages, posts, products, subscribers, ShopMy/Shopify imports.
Manage your Lnk.Bio page through AI: links, pages, themes, social icons, and more.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceAI agent website builder, starting with link-in-bio sites. Create and publish via MCP server or REST API.2MIT
- AlicenseAqualityAmaintenanceDigital identity layer for AI — your bio, career, skills, interests, and projects always available to every AI tool. Auto-generates profile from 342+ public APIs, 13 real-time plugins, YAML-based profiles with privacy-first local storage.273 npm18MIT
- AlicenseNot gradedqualityCmaintenanceTurns a pasted CV (PDF, DOCX, Markdown, or text) into a polished one-page portfolio website with domain-aware themes and Arabic RTL support, and can generate HTML for preview or deployment.MIT
- AlicenseAqualityDmaintenanceGenerate styled QR codes, manage dynamic short links with click analytics, and publish micro-landing pages via AI agents.1946 npm1MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.