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competlab

competlab-mcp-server

get_content_dashboard

Retrieve competitor content intelligence with sitemap analysis, content categorization, and gap identification to uncover strategic opportunities.

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 provided, so description carries full burden. It successfully discloses 'Read-only' status and provides detailed enumeration of returned data (sitemap counts, 11 content categories, gap analysis, AI insights). Lacks rate limits or caching details, but substantial behavioral context is provided.

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?

Five information-dense sentences with zero waste: purpose (sentence 1), return details (sentence 2), usage guidelines (sentence 3), safety hint (sentence 4), format (sentence 5). Front-loaded with action and scope, well-structured for quick scanning.

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?

No output schema exists, but description compensates by detailing the comprehensive JSON return structure (11 categories, sitemap data, gap analysis, AI actions). With only 1 parameter and no annotations, the description provides complete context for invocation and result interpretation.

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% with projectId fully described as 'Project ID (from list_projects)'. The description does not mention the parameter explicitly, but with complete schema coverage, the baseline score of 3 is appropriate - no additional semantic context needed.

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?

Description uses specific verb 'Get' with resource 'Content Intelligence' and scope 'for all competitors'. It clearly identifies this as a current snapshot dashboard tool and distinguishes itself from siblings get_content_history and get_content_changelog by explicitly naming them as alternatives.

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?

Excellent explicit guidance: '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 versus when-not-to-use instructions with named alternative tools.

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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