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competlab

competlab-mcp-server

get_positioning_dashboard

Analyze competitor homepage positioning to extract messaging strategies, value propositions, CTAs, pricing mentions, and differentiation insights with AI-powered recommendations.

Instructions

Get the latest Positioning analysis for all competitors. Returns homepage messaging: page title, main headline, tagline, value proposition, primary/secondary CTAs, key offerings, target audience, main differentiator, pricing mentions, free trial info, and AI analysis with insights and actions. Use this for the current snapshot; use get_positioning_history for past runs. 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 carries the full burden. It successfully discloses 'Read-only' safety status and extensively lists return content (homepage messaging fields, AI analysis). It could improve by mentioning data freshness or caching behavior, but the return structure disclosure is comprehensive.

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?

Well-structured with zero waste: purpose statement, detailed return value enumeration (necessary given no output schema), usage guideline, safety note, and format declaration. Every sentence earns its place and information is front-loaded.

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 lack of output schema, the description comprehensively compensates by enumerating all returned data fields (page title, headlines, CTAs, AI insights, etc.). The single parameter is fully documented in schema, and the read-only behavioral trait is disclosed. Adequate for a complex dashboard retrieval tool.

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% (projectId fully documented with pattern and source reference). The description adds no parameter-specific details, but with complete schema coverage, the baseline score of 3 is appropriate as the schema carries the semantic weight.

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 a specific verb ('Get') and clearly identifies the resource ('latest Positioning analysis for all competitors'). It effectively distinguishes from siblings like get_positioning_history ('latest' vs time-bound) and get_positioning_run_detail ('all competitors' vs specific run).

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 temporal guidance: 'Use this for the current snapshot; use get_positioning_history for past runs.' This directly names the sibling alternative and clarifies when to use each, satisfying the criteria for explicit when/when-not guidance.

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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