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campaignstack_create_query_lead_list

Create a dynamic query-type lead list in a campaign. Query lists dynamically resolve their members from included/excluded lists and filter rules. Use campaignstack_list_campaigns to find campaign IDs and campaignstack_list_lead_lists to find lead list IDs for include/exclude refs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
queryYes
campaignIdYes

Schema Changelog

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

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The description discloses the key behavioral trait that query lists resolve members dynamically from included/excluded lists and filter rules, which goes beyond the annotations. The readOnlyHint=false already signals mutation, and the description adds useful nuance about how the list behaves.

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 sentences, no filler. The primary purpose is front-loaded, and the follow-up sentence provides actionable lookup context. Every clause earns its place.

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

Completeness2/5

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

Given the complex nested query schema and the absence of both an output schema and any field descriptions, the description leaves substantial gaps. An agent still lacks enough information to correctly construct the query.filter, query.logic, and query.excludedLeadIds fields. The ID lookup pointers help but do not complete the picture.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

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 clarifies that campaignId and include/exclude leadListIds can be discovered via list tools, but it says nothing about the query.logic enum, the filter array structure, or excludedLeadIds. This is insufficient for a nested query object with undocumented fields.

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 clearly states the specific operation: creating a dynamic query-type lead list within a campaign. It distinguishes this from the static create_lead_list sibling by emphasizing the 'query-type' nature and how members are resolved dynamically.

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?

It provides concrete lookup guidance: use campaignstack_list_campaigns for campaign IDs and campaignstack_list_lead_lists for include/exclude refs. However, it does not explicitly contrast this tool with the static create_lead_list or update_lead_list, so the when-not-to-use guidance is only implicit.

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