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competlab

competlab-mcp-server

get_content_dashboard

Retrieves competitive content intelligence for a project: sitemap URL counts, strategic URLs, content categorization (11 categories), sitemap structure, content gap analysis, and AI insights with actions.

Instructions

Get the latest Content Intelligence for all competitors. Returns sitemap URL counts, strategic URL identification, content categorization (11 categories), sitemap structure data, content gap analysis, and AI analysis with insights and actions. Use this for the current snapshot; use get_content_history for past runs or get_content_changelog for URL-level changes. Read-only. Returns JSON object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID (from list_projects)
Behavior4/5

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

No annotations are provided, so the description must disclose behavior. It states 'Read-only' and 'Returns JSON object,' which are key traits. However, it does not mention data freshness, latency, or any potential limits. For a read-only dashboard, the disclosure is mostly adequate but could be more thorough.

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 concise at 4 sentences, front-loaded with purpose, followed by detailed contents and usage guidance. No unnecessary words.

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?

Given the simplicity (1 parameter, no output schema), the description thoroughly covers what the tool does, its return content (extensive list), and relationship to siblings. Agents have sufficient context to use this tool correctly.

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% (1 parameter, projectId, described in schema). The description adds no additional meaning about the parameter beyond what the schema provides. Baseline is 3.

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 starts with a clear verb and resource: 'Get the latest Content Intelligence for all competitors.' It lists specific return data and distinguishes from siblings by mentioning get_content_history and get_content_changelog, establishing a unique purpose.

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?

The description explicitly directs agents: 'Use this for the current snapshot; use get_content_history for past runs or get_content_changelog for URL-level changes.' This provides clear when-to-use and when-not-to-use guidance with named alternatives.

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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