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create_smart_view

Create a Smart View from a filter so the user can reuse it. Provide a name and the base_query (filter).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesView name.
base_queryNoThe filter query that defines the view.
descriptionNo
default_sortNo
triage_bucketsNoOptional tab/bucket definitions.

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=false, so the core behavioral profile is covered. The description adds the context that the view is created 'so the user can reuse it,' but it does not disclose potential side effects (e.g., whether duplicate names are allowed, if base_query is validated, or what happens on conflict). With annotations present, the description's lack of additional behavioral detail is acceptable but not enriching.

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 single sentence with zero waste, front-loading the core purpose and naming the two essential parameters. It is appropriately sized and easy for an agent to parse.

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

Completeness3/5

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

For a create operation with 5 parameters and no output schema, the description provides only the minimal purpose and two key parameters. It omits details about the optional parameters' purpose, any constraints on base_query format, and what response to expect (no output schema exists). While the schema covers some parameter descriptions, the overall context is not fully complete for an agent to confidently call the tool without ambiguity.

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?

The description explicitly highlights 'name' and 'base_query' and clarifies that base_query is the filter, adding meaning beyond the schema's terse descriptions. However, it does not explain the remaining three parameters (description, default_sort, triage_buckets), and schema coverage is only 60%, leaving those without any semantic guidance in either the schema or description. The description partially compensates but does not fully bridge the coverage 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?

The description states a specific verb ('Create'), a specific resource ('Smart View'), and the purpose ('reuse it'), clearly distinguishing it from siblings like get_smart_view, list_smart_views, update_smart_view, and delete_smart_view. The mention of 'from a filter' further clarifies the scope.

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

Usage Guidelines3/5

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

The description implies when to use this tool (to create a reusable view from a filter) but does not explicitly mention alternatives or exclusion conditions. No guidance is provided on when to use update_smart_view instead, or whether there are prerequisites like an existing filter. This leaves context implicit 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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose, even among similar ones (e.g., archive_bookmarks vs archive_bookmarks_by_filter, get_bookmark vs get_library_overview). Descriptions are detailed and explicitly differentiate between overlapping actions, leaving no ambiguity.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern (e.g., list_bookmarks, create_smart_view, update_digest_preference), but a few deviations exist: 'recall', 'remember', 'forget' omit objects, 'get_me' uses a pronoun, and 'setup_vector_store' uses 'setup' instead of 'set'. These are minor and do not hinder readability.

Tool Count1/5

At 53 tools, this far exceeds the recommended 3-15 range and even the 25+ threshold, making it an extreme count. While the server covers a broad domain, the sheer number overwhelms an agent's discovery and selection process, fitting the rubric's definition of an extreme mismatch.

Completeness5/5

The tool set provides comprehensive lifecycle coverage for bookmarks (fetch, list, get, search, archive, tag), labels (add, remove, delete, list), smart views (create, update, delete, list), digests (compose, send, list, get, preferences), exports, sync status, and user preferences. No obvious gaps or dead ends exist for the stated purpose.