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competlab

competlab-mcp-server

by competlab

get_positioning_dashboard

Read-only

Retrieve competitor positioning analysis for a project, covering homepage messaging, CTAs, audience, differentiators, pricing, and trial info; nulls indicate pages not analyzed.

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. When the customer’s own homepage could not be analyzed, every metric on summary.customer is null and messagingAnalysisAvailable says why — including the headline and CTA strings. Note the distinction those nulls preserve: a measured EMPTY STRING means we read the page and there is genuinely no call to action, which is a real finding; a null means we never read it. The messaging score and its gap are null on the same condition — a null gap is not a tie.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID (from list_projects)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv4.0.1
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observedv1.0.0

TDQS

A4.2/5.0
Behavior5/5

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

With readOnlyHint already covering the safety profile, the description goes well beyond annotations: it explains the null-propagation rule for a failed customer-homepage analysis, names messagingAnalysisAvailable as the reason field, and preserves the distinction between a measured empty string (a real finding) and a null (never read). It also documents that a null messaging gap is not a tie. That is genuinely useful behavioral context an agent cannot get from the annotations or schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

Front-loaded with purpose and return contents before the edge-case rules. The null-vs-empty-string passage is dense and slightly repetitive ("including the headline and CTA strings"), but each sentence carries real information about interpreting the response, so it mostly earns its length.

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?

There is no output schema, so the description carries the full burden of describing return values — and it does, enumerating the messaging fields and explaining the null semantics of summary.customer and the messaging score/gap. An agent has what it needs to call the tool and interpret the response 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% and the single projectId parameter carries its own description with a pattern and provenance hint (from list_projects), so the schema does the work. The description adds no syntax or format detail about the parameter, which is the expected baseline-3 case for a fully documented single-parameter 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?

States a specific verb and resource ("Get the latest Positioning analysis for all competitors") and enumerates exactly what the resource contains — homepage messaging fields. The word "latest" plus "all competitors" implicitly separates it from get_positioning_history and get_positioning_run_detail, so an agent can pick it without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Scope language ("latest", "all competitors") gives implied guidance that this is the aggregate snapshot rather than a per-run or historical view, which is enough for an agent to prefer it over the sibling history/run-detail tools. However, there is no explicit when-to-use or when-not-to-use statement and no named alternative, so the guidance stays implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.