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campaignstack_list_notifications

Read-onlyIdempotent

List notifications for a workspace. Returns paginated notifications most-recent first. Filter by type to see only specific notifications (e.g. pending_review, credits_exhausted, account_risk, reply_received). Use campaignstack_count_unread_notifications to get the unread badge count. Use campaignstack_mark_notification_read or campaignstack_mark_all_notifications_read to mark as read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo
limitNo
cursorNo
workspaceIdNo

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds value beyond that by disclosing pagination behavior, most-recent-first ordering, and type filtering — useful behavioral context an agent needs to consume the result correctly. It doesn't detail cursor mechanics or response shape, but those are minor given the read-only context.

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 sentences, each earning its place: core purpose is front-loaded, then ordering/pagination behavior, then filter semantics with examples, then sibling routing. There is zero filler or repetition of schema/annotation content.

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 read-only, idempotent list tool with no required parameters, the description is largely complete: it covers return behavior (paginated, most-recent first), filtering, and routes to the related count/mark tools. No output schema exists, but the description gives an adequate summary of what is returned. Minor gaps — how pagination continuation works (next cursor) and behavior when workspaceId is omitted — are not critical for correct invocation.

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 description coverage is 0%, so the description must compensate. It does clarify the `type` parameter's purpose with concrete examples (pending_review, credits_exhausted, account_risk, reply_received) and implies `cursor` via 'paginated'. However, `limit` (default 20, max 100) and `workspaceId` are not explained in prose — though the schema's default/minimum/maximum for limit partially self-documents that parameter.

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 ('List'), resource ('notifications'), and scope ('for a workspace'), and adds behavioral specifics ('paginated', 'most-recent first'). It explicitly differentiates from sibling tools by naming count_unread_notifications (count vs. list) and the mark_* tools (mutating vs. read-only), so an agent can select it correctly without opening schemas.

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?

The description explicitly routes to alternatives: 'Use campaignstack_count_unread_notifications to get the unread badge count' and 'Use campaignstack_mark_notification_read or campaignstack_mark_all_notifications_read to mark as read.' This tells the agent when NOT to use this tool, leaving nothing to inference.

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

Many tools share the same verb prefix (create_, list_, update_, get_) across closely related resources, so pairs like add_lead_to_external_list vs add_lead_to_sequence, create_signal_agent vs create_signal_watch, and approve_review vs approve_content_post can be confused. The descriptions are unusually detailed and cross-referenced, which mitigates but does not eliminate the ambiguity inherent in a 282-tool surface.

Naming Consistency4/5

Virtually every tool follows the campaignstack_verb_noun snake_case pattern, which is highly predictable. Minor deviations exist: destructive operations mix remove_ and delete_ (remove_lead_list vs delete_campaign), AI generation uses both craft_ and generate_, and the seo_/search_console_ subdomains introduce a second prefix convention.

Tool Count1/5

282 tools is an extreme mismatch by any reasonable standard, exceeding the 50+ threshold by more than 5x. Even for a full B2B outreach platform, this surface is far too large and would be better consolidated into higher-level operations or grouped sub-servers.

Completeness4/5

The tool surface is impressively comprehensive, covering campaigns, workflows, leads, content, ads, SEO, integrations, billing, and more with CRUD-level depth. Minor gaps remain: no single-ICP getter, no direct pause/delete for search watches, and no explicit delete for ad campaigns (only archive via update).

Resources