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rankparse-mcp

zeekeo_send_message

Sends a REAL LinkedIn message, InMail, or email through Zeekeo Launchpad to a profile in one of the user's existing Zeekeo campaigns. Only call this after showing the user the drafted message and getting explicit approval. Resolves linkedin_url into that campaign first, so the profile must be reachable from it (use zeekeo_list_campaigns to pick campaign_id). 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
bodyYesMessage text
typeYesChannel to send through
subjectNoSubject line, required when type is email_message
campaign_idYesZeekeo campaign id from zeekeo_list_campaigns
linkedin_urlYesLinkedIn profile URL or public identifier of the recipient

TDQS

A4.5/5.0
Behavior4/5

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

The description adds important behavioral context beyond the annotations: the message is actually sent, approval is mandatory, the URL is resolved against the campaign, and a connected Launchpad account is required. It doesn't go into repeated-send/error-result behaviors, but 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.

Conciseness5/5

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

The description is compact and front-loaded: it states the primary action, then the approval gate, then the technical dependency, then the prerequisite. Every sentence earns its place without unnecessary filler.

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?

This is a high-stakes, real-send tool; the description covers the mandatory approval step, the campaign membership constraint, how to choose the campaign, and how to connect the account. Combined with 100% schema parameter coverage, the agent has enough to decide when and how to invoke it.

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 100%, so the input schema already documents campaign_id, linkedin_url, type, subject, and body meaning. The description adds context about reachability and preflight campaign resolution, but it does not substantially enrich individual parameter semantics beyond that baseline.

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 action: sends a REAL LinkedIn message, InMail, or email via Zeekeo Launchpad to a profile in a campaign. This is a specific verb+resource pairing and is strongly differentiated from sibling tools by the Zeekeo workflow and explicit 'real message' emphasis.

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?

Provides explicit invocation rules: only after showing the drafted message and receiving explicit approval, use zeekeo_list_campaigns to select campaign_id, and confirm the recipient is reachable from that campaign. It also states the account connection prerequisite, making when-to-use very clear.

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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