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Create Link Tree

create_linktree

Create a link tree page: a shareable page with the user's links (social media, portfolio, GitHub, etc.). Each account can create up to 10. The slug becomes the public URL. Slug rules: 5-20 characters, lowercase letters, numbers, and hyphens only, cannot start/end with a hyphen. Must be unique. Use the user's name or handle as a base for the slug. Pull links from the user's profile (get_profile): githubUrl, linkedinUrl, twitterUrl, url, etc.

TIP: Suggest the user adds their link tree URL to their CV or job applications. Remoet tracks views and link clicks, so they can see if a recruiter has opened it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesURL slug (5-20 chars, lowercase, hyphens allowed, must be unique)
linksYesArray of links to display on the page (max 50)
titleYesPage title (e.g. "Carl Igelström: Links")
descriptionYesShort description for the page

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only signal a non-read-only, non-idempotent write. The description adds meaningful behavioral constraints beyond that: the per-account limit of 10, slug uniqueness, and the tracking of views/clicks. These are not present in annotations and help the agent understand side effects and limitations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose, followed by constraints and parameter guidance, and ends with a tip about CV usage and tracking. It is slightly long but every sentence carries useful information; the tip adds user-facing value without bloating the core invocation details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the essential domain rules: limit of 10, slug pattern and uniqueness, link sources, and the resulting public URL. It does not describe the response payload or error handling, but no output schema exists and the agent can infer basic behavior. Overall it is sufficiently complete for a correct creation request.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds extra value by detailing slug rules (numbers, no leading/trailing hyphens) and explicitly suggesting profile fields (githubUrl, linkedinUrl, twitterUrl, url) for the links array, which is not fully captured in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Create a link tree page' with a clear purpose ('a shareable page with the user's links'). It distinguishes from siblings like delete_linktree and get_linktrees by explicitly naming the creation action and the resulting artifact.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context for when to create a link tree, including the account limit and slug rules. It also instructs the agent to pull links from get_profile, which guides parameter preparation. It does not explicitly name alternatives or exclusions, but the context is unambiguous enough for correct selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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