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list_templates

Read-only

List active templates in the public template library (id, title, scene, description, category, recommended flag, usage count), most-used first. Use this to find a template, then call create_form_from_template with its id to create a form from it — the fastest way to build a quiz when a suitable template exists.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoItems per page, default 20, max 100
sceneNoFilter by scene, optional
categoryIdNoFilter by category id, optional
isRecommendedNoWhen true, only return recommended templates
titleContainsNoFuzzy match by title, optional

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsNoThe page of templates
totalDocsNoTotal templates matching the filter

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover read-only and non-destructive behavior, so the description adds useful context without needing to repeat safety. It clarifies active-only results, the public library scope, field set, and most-used-first ordering, which helps set expectations for what the call returns.

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?

Two focused sentences with no filler. The first sentence states what the tool lists; the second gives the recommended next action. The key scope information is front-loaded.

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?

With a full input schema, output schema availability, and annotations defining read-only/non-destructive behavior, there is no meaningful gap in what an agent needs to select and invoke the tool. The description also connects it to the logical follow-up tool.

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 coverage is 100%, so the schema already documents limit, scene, categoryId, isRecommended, and titleContains. The description adds workflow-level context about using the template id afterward, but it does not need to add parameter details because the schema fully handles that.

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 a specific verb and object: it lists active templates from the public template library, and enumerates the fields returned. This clearly distinguishes it from list_forms and create_form_from_template because it identifies templates as the resource rather than forms.

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 explicitly tells the agent when to use the tool: 'Use this to find a template, then call create_form_from_template with its id.' It also gives the decision criterion ('when a suitable template exists'). It stops short of saying when not to use it or naming an alternative such as create_form.

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

A4.1/5.0
Disambiguation4/5

Most tools map to a distinct resource and action, and the descriptions actively disambiguate similar operations (e.g., get_form vs get_form_share_info vs get_form_stats). The main potential confusion is between list_records and list_leads and between get_record and get_lead, since both describe leads from slightly different angles.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun convention, with resources like form, question, lead, booking, examinee, translation, and tenant parallel across actions. The few non-CRUD verbs like prepare_/finalize_, duplicate_, and reschedule_ still fit the same uniform pattern.

Tool Count2/5

48 tools is well beyond the 3–15 ideal and even past the 25+ threshold, making the tool surface heavy for an agent to navigate. The broad platform scope explains some of the size, but the count still risks overwhelming context and increasing misselection.

Completeness4/5

The server covers form lifecycle, question editing, translations, CRM leads, examinees, records, bookings, team/tenant operations, image uploads, templates, and analytics extremely well. Minor gaps remain—such as no lead/record deletion, no member removal or role updates, and limited booking-settings management—but most workflows can be completed with the existing tools.

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