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Read-only

Search the user's MarkIt library with a natural-language query plus optional structured filters. Returns up to 30 ranked results in a single page (no pagination in relevance mode). Example: {query: 'pasta recipes', source: 'youtube', limit: 5}. OMIT query to list the newest saves in date order (use this for "what did I save recently/last") - filters and limit still apply. If nothing relevant comes back, retry with fewer filters or different query words. English queries rank best. Scores are only comparable within one response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNo
tagsNoAny-of tag match
typeNo
limitNo
queryNoNatural-language topic, e.g. 'AI coding tools'. Omit for a newest-first date listing.
authorNoAuthor/creator name (case-insensitive substring)
dateToNoInclusive ISO date
sourceNoPlatform key (instagram|tiktok|youtube|twitter|github|linkedin|facebook) or a domain substring
categoryNoCategory name - see list_categories for valid names
dateFromNoInclusive ISO date, e.g. 2026-06-01
likedOnlyNo
pinnedOnlyNo
excludeSourceNoExclude a platform/domain (same format as source)

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already mark read-only, and the description goes further: single-page/no-pagination behavior, 'Scores are only comparable within one response', and 'English queries rank best'. These are genuine non-obvious behaviors an agent cannot infer from 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.

Conciseness5/5

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

Every sentence carries operational value: purpose, result bound, example, date-mode usage, troubleshooting, and ranking caveat. It is front-loaded and free of boilerplate.

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?

For a 13-parameter search with no output schema, the description covers the essential behaviors: result cap, pagination absence, relevance mode, sort-by-date mode, and score comparability. Minor gaps remain around default sort and exact result fields, but the example and caveats make calling it correctly feasible.

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?

The description gives a concrete invocation example ('{query: "pasta recipes", source: "youtube", limit: 5}') and explains query omission semantics, adding meaning beyond the schema. It does not detail every filter, but schema descriptions cover 62% of parameters and the example fills the practical gap.

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 ('Search') and resource ('the user's MarkIt library') and adds result semantics ('Returns up to 30 ranked results in a single page'). It is clearly distinct from siblings like save_item and fetch.

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 an explicit alternate invocation mode: 'OMIT query to list the newest saves in date order (use this for "what did I save recently/last")'. Provides retry guidance for empty/failed results and a language caveat, but does not explicitly contrast with alternatives such as fetch for exact retrieval.

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.