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campaignstack_add_leads_to_list

Idempotent

Add leads to an existing lead list. Idempotent -- leads already in the list are skipped. Each leadRef needs leadSource (default 'global') and leadId. Returns the count of newly added leads and already-present leads. Use campaignstack_list_lead_lists to find lead list IDs and campaignstack_search_leads to find lead IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leadRefsYes
leadListIdYes

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already provide the safety profile (readOnlyHint=false, idempotentHint=true, destructiveHint=false), and the description adds genuine value beyond them: it details the idempotent skip behavior ('leads already in the list are skipped') and discloses the return payload (counts of newly added and already-present leads). This is useful behavioral context a schema cannot convey, and there is no contradiction with the 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?

Five sentences, each earning its place: purpose, idempotency behavior, parameter requirements, return value, and prerequisite tool routing. The core purpose is front-loaded in the first sentence and there is 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?

Strong completeness for a two-parameter mutation: the safety profile is covered by annotations, the return format is disclosed because no output schema exists, and prerequisite lookup tools are explicitly named despite a very large sibling set. The main remaining gap is the meaning of the leadSource enum values ('global' vs 'private') and error behavior for non-existent lists.

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 carries the burden for parameter meaning. It does restate the leadRef structure and the leadSource default ('global'), and it routes the agent to tools that produce valid IDs, which is helpful. However, it does not explain the semantic difference between 'global' and 'private' lead sources or what leadListId refers to beyond its name, leaving a real gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Add') and resource ('leads to an existing lead list'), making the operation unambiguous. The qualifier 'existing' implicitly distinguishes it from list-creation tools like campaignstack_create_lead_list. However, it does not explicitly differentiate from similar add-to-target siblings such as campaignstack_add_lead_to_external_list or campaignstack_queue_leads.

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?

Gives clear workflow context by naming the exact prerequisite tools: campaignstack_list_lead_lists for lead list IDs and campaignstack_search_leads for lead IDs. This tells an agent how to assemble a valid call. It stops short of stating when NOT to use this tool or naming an alternative operation, so exclusions are left 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

A3.7/5.0
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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