Skip to main content
Glama

campaignstack_find_warm_paths

Read-onlyIdempotent

Check which of a workspace's LinkedIn accounts can already reach a lead. A 1st-degree result means that account can message the person right now, with no connection request and no waiting. Call this before queueing outreach: sending from an account that already knows someone skips days of waiting and spends no connection budget, which is the scarcest budget in the system.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leadIdYes
leadSourceNoglobal
workspaceIdYes

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 declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds useful behavioral context: 1st-degree results mean immediate messaging potential, no connection request is needed, and no connection budget is spent. It does not describe the exact output envelope or pagination, but that is not a serious omission here.

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 purposeful sentences: the core operation, the result interpretation, and the usage recommendation. It is front-loaded, free of redundancy, and every sentence adds value.

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 lookup with no output schema, the description gives enough to understand what the tool does, what a result means, and when to call it. The only meaningful gap is the undocumented leadSource parameter, which is optional and has a default.

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 must carry parameter meaning. It indirectly clarifies workspaceId and leadId by referencing a workspace's accounts and a lead, but it gives no explanation of the leadSource enum values 'global' vs 'private'. Since leadSource has a default and is optional, the gap is moderate rather than severe.

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 specific operation: checking which of a workspace's LinkedIn accounts can already reach a given lead. It also clarifies what a 1st-degree result means, which distinguishes this lookup from sending or queuing actions like send_connection_request or 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?

It explicitly tells the agent to call this before queueing outreach and explains the benefit: using an existing connection avoids waiting and spends no connection budget. It does not mention when not to use it or name an alternative tool, so it stops short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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