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campaignstack_list_ad_creatives

Read-onlyIdempotent

List the creatives of an ad campaign with their status, approval status (creatives always land as pending_approval and must be approved before publishing), platform review status, and copy (headline, body text, call to action). Use campaignstack_approve_ad_creative / campaignstack_reject_ad_creative on the results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNoAd platform. Only 'linkedin' is supported today.linkedin
workspaceIdNoDefaults to the API key's workspace
adCampaignIdYes

Schema Changelog

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

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish readOnlyHint, idempotentHint, and non-destructive behavior. The description adds useful behavioral context beyond those flags: creatives always land as pending_approval and must be approved before publishing, and it lists the fields returned. No contradiction with 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?

The description is compact and front-loaded: the first clause names the action and object. Every subsequent clause adds meaningful detail about returned fields, approval behavior, or follow-up tools. No filler or redundancy.

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 listing tool with no output schema, the description adequately explains what will be returned and what the agent should do next. It does not mention pagination or empty-result behavior, but the required parameter and platform constraints are already covered by the schema, so nothing critical is missing.

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 67%, with platform and workspaceId already documented. The description adds campaign-level context but does not provide additional meaning for adCampaignId or workspace fallback beyond what the schema already states. Baseline 3 is appropriate since the schema does most of the parameter work.

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 and resource: 'List the creatives of an ad campaign'. It also enumerates the exact return dimensions (status, approval status, platform review status, copy), making it clearly distinct from sibling tools like list_ad_campaigns or get_ad_campaign.

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?

Provides clear context for when to call the tool and explicitly directs the agent to use campaignstack_approve_ad_creative / campaignstack_reject_ad_creative on the results. It does not spell out explicit exclusions or alternatives, but the intended workflow is unambiguous.

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