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campaignstack_trigger_workflow

Trigger workflow execution for specific leads or all leads in the workflow's lead list. Leads are set to 'waiting' status at the workflow entry node and will be processed by the workflow executor. Use campaignstack_list_workflows to find workflow IDs, and campaignstack_get_lead_list to see available leads. To chain workflows FROM INSIDE a workflow, use the integration:add_to_sequence node with provider campaignstack instead; unlike this tool it never re-triggers a lead that already entered the target workflow (loop-safe once-ever semantics).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leadIdsNo
workflowIdYes

Schema Changelog

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

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

The description discloses that leads are set to 'waiting' status and processed by the workflow executor. It also implies that this tool can re-trigger leads already entered, unlike add_to_sequence, which is critical behavioral information. This goes well beyond the annotations, which only indicate non-read, non-idempotent behavior.

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?

Every sentence contributes: scope, execution behavior, prerequisite tools, and the key alternative with its crucial safety distinction. The description is dense but not bloated, and the most important operational details are 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?

The description is complete for a non-read tool with only two parameters. It explains prerequisites, side effects, and the key distinction from the chaining mechanism. There is no output schema to document, and the absence of return-value details is acceptable.

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

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description carries the burden of explaining parameters. It clarifies that workflowId identifies the target workflow and leadIds are for specific leads while omitting leadIds triggers all leads. It could explicitly name the parameters and mention that leadIds is optional, but the semantic intent is clear enough for correct invocation.

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 clear action ('Trigger workflow execution') and the exact scope ('specific leads or all leads in the workflow's lead list'). It also differentiates from related tools by naming campaignstack_list_workflows and campaignstack_get_lead_list, and by contrasting with the add_to_sequence node for chaining workflows.

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 tells the agent what this tool is for and when to use alternatives: list workflows to find IDs, get lead list to see leads, and use integration:add_to_sequence for chaining from inside a workflow. The loop-safe contrast clearly defines a boundary where this tool should not be used.

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

A3.7/5.0
Disambiguation3/5

The set is enormous and generally well-differentiated through detailed cross-referenced descriptions, but several clusters blur together: archive/delete/remove have inconsistent permanence semantics (delete_campaign vs remove_signal_watch vs archive_campaign), create_connection_watch_agent explicitly overlaps with set_account_watcher, and the parallel draft-checkup and playbook-proposal flows (run_draft_checkup/get_draft_checkup/accept_draft_checkup vs propose_playbook_change/get_playbook_proposal/decide_playbook_proposal) present near-identical decision pipelines.

Naming Consistency4/5

Nearly every tool follows the campaignstack_<verb>_<noun> convention with disciplined get/list pairing and consistent verb choices (create/update/delete/pause/resume). Minor deviations like campaignstack_priority_enrich (adverb+verb) and campaignstack_whoami break the strict verb_noun pattern but are isolated and do not hinder navigation.

Tool Count1/5

223 tools is an extreme surface for any MCP server. Even though each tool maps to a distinct API operation and the underlying platform is broad, the scale far exceeds the 50+ threshold for an extreme mismatch and will overwhelm agents with selection overhead.

Completeness5/5

The surface is exhaustive for the LinkedIn outreach domain: full campaign/workflow/lead-list lifecycles, ICP and persona management, content scheduling and approvals, inbox and messaging, enrichment and integrations, signal watches and exclusions, review queues, playbook versioning, workspace admin, billing, and notifications. Minor gaps like a missing delete_lead or delete_company are explained by shared-data semantics, so no critical dead ends remain.

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