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campaignstack_list_signal_agents

Read-onlyIdempotent

List the signal agents (audience intelligence watchers) of a workspace. Signal agents monitor LinkedIn profiles, company feeds, groups or posts and detect engagements. Returns agents with status, type, target info, and counters. Connection watchers and message watchers are account maintenance and are hidden unless includeAccountMaintenance is true; campaignstack_get_account_maintenance is their home. Use campaignstack_get_signal_agent for full details, or campaignstack_get_signal_agent_stats for dashboard metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceIdNo
includeArchivedNo
includeAccountMaintenanceNo

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover read-only/idempotent/non-destructive behavior. The description adds value beyond that by disclosing the default filtering of connection/message watchers, the effect of includeAccountMaintenance, and the returned fields. It does not contradict annotations and provides useful contextual behavior without repeating annotation data.

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 compact and front-loaded: main action first, then return content, then filtering behavior, then routing to sibling tools. Every sentence contributes meaning and there is no redundant restatement of the tool name or annotations.

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 still tells the agent what fields are returned and how filtering works. It also points to the right sibling tools for deeper detail and metrics. A minor gap is that includeArchived's default behavior is not stated, but the overall context is sufficient for a list operation.

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 thoroughly explains includeAccountMaintenance, but workspaceId is only implied via 'of a workspace' and includeArchived is not addressed at all. Both are inferable from names, but the description does not fully compensate for the missing schema documentation.

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 clearly states a specific verb ('List') and resource ('signal agents (audience intelligence watchers) of a workspace'), then explains what signal agents are and what the response contains. It differentiates this list operation from the detail and stats tools by explicitly naming them.

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?

It gives concrete selection guidance: use campaignstack_get_signal_agent for full details and campaignstack_get_signal_agent_stats for dashboard metrics. It also explains when the includeAccountMaintenance flag matters and directs account-maintenance watchers to campaignstack_get_account_maintenance, leaving no ambiguity about which tool to choose.

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