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View Link Trees

get_linktrees
Read-only

The user's link tree pages: shareable single-page URLs for a CV, email signature, or job application, with per-link view/click tracking so recruiter engagement is measurable. Without a slug: all of the user's link trees (each with its id and slug). With a slug: that page's content plus its engagement data (views, clicks per link), which answers "has anyone looked at my link tree?".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoFetch one link tree in full by its public slug (with engagement data). Omit to list all of the user's link trees.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false and closed-world scope, so the safety profile is covered. The description adds real behavioral value beyond that: it discloses that omitting the slug returns a collection while supplying one returns page content plus per-link view/click metrics, which is exactly what an agent needs to predict the response shape.

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?

Front-loaded with the resource definition, then the two-mode behavior, which is the right ordering. It is somewhat padded ('shareable single-page URLs for a CV, email signature, or job application'), but every sentence carries informational weight and there is no true filler.

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?

With no output schema, the description carries the burden of describing returns and does so adequately for both modes (ids and slugs for the list; views and clicks per link for the single fetch). Minor gaps remain around pagination or ordering for the list case, but nothing essential for correct invocation is missing.

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

Parameters3/5

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

Schema description coverage is 100% and the slug parameter is already documented as 'fetch one link tree in full... omit to list all', which the description essentially restates. With the schema doing the heavy lifting, the baseline of 3 applies — the description adds framing but no format, validation, or naming semantics beyond what is already structured.

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?

States a specific verb+resource (retrieve the user's link tree pages) and defines the domain object concretely as shareable single-page URLs with per-link engagement tracking. It also distinguishes the two operating modes (list all vs. single page with analytics), so an agent can separate it from create_linktree/delete_linktree without opening any schema.

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?

Gives clear context for use: listing the user's pages, or answering the engagement question 'has anyone looked at my link tree?'. However it never names the sibling write/delete tools as alternatives or states exclusions, so routing is implied rather than explicit.

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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