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campaignstack_get_account_maintenance

Read-onlyIdempotent

Per-account housekeeping state for a LinkedIn account: invitation hygiene (on or off, last pending count, last sweep), the connection watcher and the message watcher (status, auto-pause reason, workflow id, auto-accept settings) and the owning workspace that pays for them and for hand-written inbox sends (owner). A watcher owned by another workspace reads as isSameWorkspace false with no details. Use campaignstack_list_accounts to find account IDs and campaignstack_set_account_watcher to change a watcher.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceIdNo
linkedinAccountIdYes

Schema Changelog

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

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds meaningful behavioral context beyond those: cross-workspace watchers are redacted to isSameWorkspace false with no details, and the owner workspace is the one that pays for watchers and inbox sends. This is exactly the kind of hidden behavior an agent needs to know.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose and then provides a structured inventory of returned fields. It is a bit dense and the owner clause is convoluted, but there is no filler and the closing sentence adds useful navigational guidance.

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?

With no output schema, the description compensates by enumerating the main returned categories and the important cross-workspace visibility rule. It is complete enough for an agent to call the tool correctly, though it leaves workspaceId semantics underspecified and does not describe the exact response shape.

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

Parameters2/5

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 of explaining both parameters. It indirectly references linkedinAccountId via 'for a LinkedIn account' and 'use campaignstack_list_accounts to find account IDs,' but it never names workspaceId, never states that linkedinAccountId is required, and does not explain how workspaceId affects the result. This is a meaningful gap.

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 verb and resource: it reads per-account housekeeping state for a LinkedIn account. It enumerates the specific state groups returned (invitation hygiene, connection watcher, message watcher, owner) and distinguishes itself from related siblings by pointing to campaignstack_list_accounts and campaignstack_set_account_watcher.

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?

The description gives concrete guidance on how to find account IDs (campaignstack_list_accounts) and how to change a watcher (campaignstack_set_account_watcher), which helps an agent select the right sibling. It implies when to use this tool by defining it as the read of maintenance state, but it does not explicitly contrast it with other get_* tools or state when workspaceId should be supplied.

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

A3.6/5.0
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