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read_this

Save research sources as dated bookmark entries with a task label and optional notes, creating a searchable notes page that syncs with the browser bookmarks.

Instructions

Save research for the user: creates "Read this > yy.mm.dd - " with each source link. links = [{"title": "...", "url": "..."}]. note = what you found and why these sources (becomes a _notes page that syncs with the bookmarks, and is searchable).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
taskYes
linksYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It does disclose real side effects: a folder named with the task and a date is created, each link becomes an entry, and the note becomes a '_notes' page that syncs with the bookmarks and is searchable. That is meaningful context beyond the schema. It still omits permissions, idempotency/duplicate-handling, and what happens if the same task name is reused.

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

Conciseness3/5

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

The purpose is front-loaded and the length is reasonable, but the middle portion crams naming templates and a JSON snippet into running prose, making it harder to scan than a structured breakdown. Every sentence is substantively useful, so the issue is formatting density rather than waste.

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 an output schema present, return values need not be described, and the description covers the key behaviors an agent needs: what gets created, the naming convention, link format, and the note's sync/searchable nature. It is nearly complete for a three-parameter write tool, lacking only conflict/duplicate behavior.

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 0%, so the description must compensate. It does: 'links' is given an explicit shape with an example ({title, url}), 'note' is defined as what you found and why these sources, and 'task' is shown feeding the container name template. Minor gaps remain (e.g. optional note defaulting to empty, multiple vs single task).

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

Purpose4/5

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

The name 'read_this' is opaque on its own, but the description immediately states the concrete action: it saves research for the user by creating a dated bookmark container ('Read this > yy.mm.dd - <task>') holding each source link. That is a specific verb plus resource. It does not, however, differentiate itself from the many sibling tools (add, note, save_group, snapshot) that also persist data.

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

Usage Guidelines2/5

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

The phrase 'Save research for the user' implies the trigger context, but there is no explicit statement of when to use this versus siblings such as add, note, or save_group, and no exclusions or prerequisites. An agent must infer the routing decision entirely.

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