campaignstack_remove_private_proxy
Remove the private proxy from a LinkedIn account and revert it to a shared pool proxy. No-op if the account is already on a shared proxy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| accountId | Yes | ||
| workspaceId | Yes |
Remove the private proxy from a LinkedIn account and revert it to a shared pool proxy. No-op if the account is already on a shared proxy.
| Name | Required | Description | Default |
|---|---|---|---|
| accountId | Yes | ||
| workspaceId | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description states the concrete effect (removal and revert to shared pool) and the idempotent no-op behavior, which complements the idempotentHint and destructiveHint annotations. It does not contradict 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences front-load the core action and state the no-op exception without filler. Every sentence adds useful information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple destructive, idempotent tool with two params and no output schema, the description covers the effect and the edge case. It could additionally note the workspace scoping or the set_private_proxy sibling, but it is otherwise complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description clarifies that accountId refers to a LinkedIn account, but workspaceId is not explained and the schema has no parameter descriptions (0% coverage). The parameter names are reasonably self-explanatory, so this is adequate with a gap rather than absent guidance.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific action (remove the private proxy), the target resource (a LinkedIn account), and the resulting state (reverted to a shared pool proxy). This clearly differentiates it from siblings such as campaignstack_set_private_proxy and campaignstack_get_private_proxy.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The operation's intended use is clear: call it when a LinkedIn account should stop using a private proxy. The no-op condition adds context about when it is safe to invoke, though it does not explicitly name the set_private_proxy alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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).