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campaignstack_delete_workflow

Destructive

Permanently delete a workflow and all associated data. This action is irreversible and cascades to: workflow nodes, edges, lead-list source providers, node lead-list entries (lead progress), per-lead workflow contexts, and webhook tokens tied to this workflow. Use campaignstack_list_workflows to find workflow IDs. If you want to stop a workflow without deleting it, use campaignstack_update_workflow_status instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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?

Annotations already mark the operation as destructive, but the description adds valuable specifics: the deletion is irreversible and cascades through workflow nodes, edges, lead-list source providers, lead progress entries, per-lead contexts, and webhook tokens. This goes well beyond the annotation and accurately discloses the full destructive footprint.

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 three sentences with no filler. The irreversible action and cascade scope are front-loaded, followed immediately by actionable lookup guidance and the safe alternative. Every sentence serves a distinct purpose.

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?

For a one-parameter destructive tool with no output schema, this description is complete: it states the action, the irreversible consequences, the full cascade of affected data, how to obtain the required ID, and the non-destructive alternative. An agent has everything needed to invoke this tool correctly and avoid harmful mistakes.

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?

The input schema only defines workflowId as a required string with no description, so schema description coverage is 0%. The description compensates by telling the agent to use campaignstack_list_workflows to find workflow IDs, clarifying where the parameter value comes from. It does not elaborate further on the parameter's meaning, but the parameter name and this guidance are sufficient for such a simple tool.

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 opens with a specific verb and resource: 'Permanently delete a workflow and all associated data.' It immediately distinguishes this from non-destructive workflow operations and clearly defines the scope of the deletion, making the tool's purpose unmistakable.

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 tells the agent how to find the required workflow ID using campaignstack_list_workflows, and explicitly names the alternative when deletion is not intended: campaignstack_update_workflow_status. This gives clear when-to-use and when-not-to-use 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

A3.7/5.0
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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