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campaignstack_get_signal_agent_stats

Read-onlyIdempotent

Get dashboard metrics for a signal agent: total signals, signals in the last 24h, leads created, posts watched, and breakdown by priority (P0/P1/P2). Message and connection watch agents also return a watcherActivity block with real 7-day and 24h inbound/outbound activity (inbox messages received/replies sent, or connections accepted), since those agent kinds produce no signal events. Use campaignstack_list_signal_agents to find agent IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYes

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 declare readOnlyHint and idempotentHint, covering the safety profile. The description adds useful behavioral nuance by disclosing that message and connection watch agents return a watcherActivity block because they produce no signal events. This explains conditional output behavior beyond what annotations provide, though it does not cover potential staleness, authentication, or rate limits.

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 sentences with no filler. The main metric list is front-loaded, the conditional watcherActivity explanation earns its place, and the pointer to list_signal_agents is a practical final sentence. Every sentence contributes useful information.

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 single-parameter read-only metrics tool, the description is largely complete: it identifies the resource, enumerates return metrics, explains a conditional output block, and tells how to obtain valid agent IDs. It stops short of describing pagination, timezone behavior, or explicit handling for non-watch agent types, but those are minor given the simple scope.

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

Parameters4/5

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. It explains that the only parameter, agentId, refers to a signal agent and directs the user to campaignstack_list_signal_agents to find valid IDs. This adds meaningful context beyond the raw schema definition (string, minLength 1), but it does not elaborate on ID format or any edge cases.

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 opens with 'Get dashboard metrics for a signal agent' and enumerates specific metrics (total signals, last-24h signals, leads created, posts watched, priority breakdown). This is a precise verb+resource statement and the metric list clearly distinguishes it from related tools like campaignstack_get_signal_agent or campaignstack_list_signal_agents.

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 clearly implies when to use the tool (when dashboard metrics for a signal agent are needed) and gives an explicit cross-reference: 'Use campaignstack_list_signal_agents to find agent IDs.' However, it does not explicitly state alternatives or exclusions relative to other 'get' tools, such as when not to use it vs campaignstack_get_signal_agent.

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