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competlab

competlab-mcp-server

list_alerts

Fetch competitive alerts to monitor changes across pricing, content, positioning, tech-trust, and AI visibility. Filter by dimension, severity, or competitor to track market movements and access change diffs with recommended actions.

Instructions

Get paginated competitive alerts — detected changes across all monitored dimensions. Filter by dimension (tech-trust, content, positioning, pricing, ai-visibility), severity (critical, high, medium, info), and/or competitorId. Alerts include change diffs and action hints. Use this to find recent competitive changes before diving into specific dimension dashboards. Read-only. Returns paginated JSON array with pagination.hasMore flag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID (from list_projects)
pageNoPage number (1-indexed, default: 1)
limitNoItems per page (default: 20, max: 100)
dimensionNoFilter by dimension
severityNoFilter by severity level
competitorIdNoFilter by competitor ID (from list_competitors)
Behavior4/5

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

Robust disclosure compensating for zero annotations: declares 'Read-only' safety, describes return structure ('paginated JSON array with pagination.hasMore flag'), and reveals data content ('change diffs and action hints'). Missing only rate limits/error modes for a full 5.

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 tight sentences: purpose, filters, output content, usage context, and technical behavior. Every sentence earns its place. Front-loaded with core function ('Get paginated competitive alerts'), no redundancy, optimal information density.

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?

Fully compensates for missing output schema by describing the pagination flag and return type. Covers read-only nature (absent annotations), explains the alert payload contents, and differentiates from 15+ sibling tools. Complete for a list/filter tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema coverage (baseline 3), the description adds value by enumerating the specific enum values for dimension and severity inline, and grouping them as optional filters ('and/or'). This makes the description self-contained without requiring schema inspection.

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?

Excellent: 'Get paginated competitive alerts' specifies verb+resource, and 'detected changes across all monitored dimensions' defines scope. Critically, it distinguishes from siblings by positioning this as the broad entry point before 'diving into specific dimension dashboards' (referencing the many get_*_dashboard tools).

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

Usage Guidelines4/5

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

Strong guidance: 'Use this to find recent competitive changes before diving into specific dimension dashboards' explicitly maps the tool's role in the workflow hierarchy vs. the specific dimension tools (get_content_dashboard, etc.). Lacks explicit 'when NOT to use' alternatives but implies them clearly.

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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