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rankparse-mcp

zeekeo_activate_campaign

Activates a paused Zeekeo campaign so it starts running (sends real LinkedIn connection invites per the campaign's configured limit/delay). Zeekeo campaigns are created paused by default — call this after zeekeo_create_campaign to actually start sending. This resumes REAL LinkedIn automation — confirm with the user before calling. Requires the user to have connected their own Zeekeo Launchpad account. Direct them to rankparse.com/dashboard/integrations to connect it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaign_idYesZeekeo campaign id from zeekeo_list_campaigns or zeekeo_create_campaign

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already indicate non-read-only, non-idempotent, non-destructive. Description adds critical context: it sends real LinkedIn invites, requires user confirmation, and requires user's own connected account. This goes beyond annotations by warning about real-world impact and prerequisites.

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?

Three sentences, each earning its place: what it does, when to use, and critical warnings. Front-loaded with the core action and immediately follows with the most important caveat (real automation, confirm with user).

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool with no output schema, the description covers the action, prerequisites, user confirmation requirement, and integration setup. It's complete for the agent to decide and execute safely.

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 coverage is 100% and the single parameter campaign_id is well-described in the schema. The description adds context by mentioning where to get the ID (from list or create), but this is minor added value beyond the schema.

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 the tool activates a paused Zeekeo campaign to start sending real LinkedIn connection invites, with specific verb and resource. It distinguishes from siblings by noting campaigns are created paused by default and this is the follow-up to zeekeo_create_campaign.

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?

Explicitly states when to use: after zeekeo_create_campaign, and when not: requires user confirmation and connected Zeekeo account. Provides alternative action (direct user to connect account) and context for real automation.

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

A3.5/5.0
Disambiguation4/5

The tool set is largely well-disambiguated with clear prefixes (get_, outreach_, zeekeo_) and detailed descriptions for each tool. Some tools like get_site_explorer and get_site_health could be confused at a glance, but their descriptions clearly separate their purposes. Overall, the naming and descriptions prevent meaningful ambiguity.

Naming Consistency5/5

All tools follow a consistent get_ prefix for data retrieval, with sub-prefixes like get_gsc_, get_page_, and outreach_/zeekeo_ for distinct workflows. There is no mixing of naming conventions (e.g., camelCase) or inconsistent verb usage. The naming pattern is uniform and predictable.

Tool Count1/5

With 63 tools, this server vastly exceeds the typical 3-15 tool scope, categorizing as an extreme overflow. Even for a comprehensive SEO and outreach suite, the sheer number is overwhelming and likely includes redundant or overlapping functionality. This would be confusing for agents and users alike.

Completeness4/5

The tool set covers a wide range of SEO, backlink analysis, Google Search Console data, and outreach workflows, appearing nearly complete for its stated purpose. However, several tools are marked as 'v1 stub' (e.g., get_internal_links, get_schema_markup), indicating incomplete functionality. Despite these gaps, the overall coverage is extensive and well-rounded.

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