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nevent_list_templates

Read-only

Call this to discover available email templates before creating a campaign. Returns templates for the active tenant: id, name, tags, and whether they use MJML or HTML. Use the returned template id in nevent_create_campaign. Call nevent_get_template to inspect the full HTML/MJML source of a specific template.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort field: createdAt | modifiedAt | name (default modifiedAt)modifiedAt
tagsNoFilter templates by tags. Only templates that have ALL specified tags are returned. Omit to return templates regardless of tags.
limitNoMaximum number of templates to return (default 50, max 200)
sort_orderNoSort direction: asc | desc (default desc)desc
content_natureNoFilter by AI-assigned content nature classification (e.g. "promotional", "transactional", "newsletter", "event_reminder"). Omit to return templates of all natures.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: results are scoped to the active tenant, and the tool returns only template metadata, not the full source. The pointer to nevent_get_template implicitly discloses that this tool does not return the full source, which exceeds the annotation baseline.

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?

Four short sentences, each earning its place: when to call, what it returns, how to use the result, and which sibling to call for full source. There is no fluff or redundancy, and the primary purpose is front-loaded.

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?

Because there is no output schema, the description's list of returned fields (id, name, tags, MJML/HTML) is valuable and largely sufficient. It also explains the tool's role in the campaign-creation workflow with clear links to sibling tools. It does not mention pagination metadata or whether sortable timestamps are included in the response, but the schema's limit and sort parameters cover the mechanical aspects.

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 input schema describes all five parameters with full coverage, including defaults, enums, and semantics, so the baseline is 3. The description does not repeat or expand on parameter behavior such as tag filtering or content_nature. No additional semantic value is added beyond the 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 states a specific action, 'discover available email templates before creating a campaign,' and enumerates the returned data (id, name, tags, MJML/HTML format). It clearly distinguishes from nevent_get_template by framing this as the list-level discovery tool and the sibling as the full-source inspector. The active-tenant scoping provides a precise resource boundary.

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

Usage Guidelines5/5

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

It explicitly frames when to call the tool: before creating a campaign. It also gives an alternative path by instructing the agent to call nevent_get_template for full HTML/MJML source, and shows how the returned id feeds into nevent_create_campaign. This provides clear when-to-use and when-to-use-a-different-tool guidance.

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

A3.6/5.0
Disambiguation3/5

Most domain groups are distinct, but the campaign reporting cluster has three tools returning overlapping engagement metrics (get_campaign, get_campaign_metrics, campaign_report), and paid_ads_status vs paid_ads_health have fuzzy boundaries. The detailed descriptions mitigate but do not eliminate the risk of an agent calling the wrong tool.

Naming Consistency3/5

All names use the nevent_ prefix and snake_case, and most CRUD operations follow verb_noun. However, several tools reverse the order or drop the verb entirely (segment_preview, segment_execute, campaign_report, paid_ads_status, analytics_query), making the convention mixed but still readable.

Tool Count1/5

With 59 tools, this is far above the 25+ 'too many' threshold and falls into the 50+ extreme range. The broad domain coverage explains some of the size, but for an agent the set is likely to be overwhelming and harder to navigate than a more focused server.

Completeness3/5

The core marketing workflow (segments, templates, campaign creation, quote, schedule, metrics) is covered, but there is no way to update, cancel, or delete a campaign, and templates and segments lack delete operations. These are notable lifecycle gaps that agents will hit when users want to change or clean up resources.