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Save an item

save_item

Save a link or a text note to the user's MarkIt library. Pass a URL to save and scrape a web page, or plain text to save a note. Optionally attach a note - your own context, e.g. why it matters or how it relates to the conversation - and, for a text note, a title. MarkIt scrapes, auto-categorizes, and indexes the item in the background so it turns up in later searches. Each save counts as one capture against the monthly limit; saving a URL already in the library is a no-op.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional context to store with the item (e.g. why it's relevant).
titleNoOptional title for a text note. A URL gets its title from the page.
contentYesA URL to save (scraped as a link), or the text of a note to save.

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only indicate readOnly=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false. The description adds meaningful behavior: background scraping, auto-categorization, indexing, quota consumption per save, and idempotent no-op behavior for duplicate URLs. It also clarifies that URL titles come from the page rather than the title parameter. This far exceeds the structured annotation coverage.

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

Conciseness5/5

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

The description is a compact, front-loaded paragraph. The first sentence states the core action, subsequent sentences add input modes, optional fields, background behavior, and caveats. Every sentence earns its place, and there is no redundant repetition of schema details.

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

Completeness5/5

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

For a tool with no output schema and modest parameter count, the description covers all needed aspects: what counts as an item, how to choose between URL and note, optional metadata, background processing, quota impact, and duplicate behavior. An agent has enough context to invoke the tool correctly and set expectations about side effects.

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 already describes all three parameters with descriptions and constraints, so the baseline is 3. The description goes further by explaining that content can be a URL or text, that title applies only to text notes, and that note stores user context. This adds useful semantic nuance beyond the raw 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 opens with 'Save a link or a text note to the user's MarkIt library', a specific verb plus resource that immediately establishes what the tool does. It also differentiates between two content modes (URL and text note), which clearly separates it from sibling tools like fetch or search.

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 explains when to use each input form: pass a URL to scrape a page, or plain text to save a note, and clarifies the optional role of note and title. It also gives practical context such as the monthly capture limit and duplicate-URL no-op. It does not explicitly name alternatives, but sibling tools are not direct substitutes for saving to the library.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct action: saving, searching, fetching, listing categories, managing reminders, and sending feedback. There is no meaningful overlap or ambiguity between tool purposes.

Naming Consistency4/5

Tool names are uniformly lowercase snake_case and mostly follow a verb_noun pattern like save_item, list_categories, cancel_reminder. The exceptions are fetch and search, which are single verbs without an explicit object, creating a minor inconsistency.

Tool Count5/5

Eight tools is a well-scoped count for a personal library and reminder assistant. Each tool earns its place and covers a distinct user need without unnecessary redundancy.

Completeness3/5

The core workflow of saving, searching, fetching, and reminding is well covered. However, there is no way to delete or update a saved item, which is a notable lifecycle gap for a library tool.