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competlab

competlab-mcp-server

get_action_plan

Retrieve an AI-generated competitive action plan that aggregates insights and recommended actions across five monitoring dimensions for strategic decision-making.

Instructions

Get the AI-generated competitive action plan aggregated across all 5 monitoring dimensions. Returns insights (with evidence and related competitors) and recommended actions (with rationale), plus per-dimension analysis freshness timestamps. This is the highest-level intelligence output — start here for a strategic overview before drilling into specific dimensions. 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?

Describes return contents (insights with evidence/competitors, recommended actions with rationale, per-dimension freshness) and declares read-only. No annotations provided, so description carries burden. Could mention potential data staleness or aggregation latency, but overall adequate.

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?

Three concise sentences, each earning its place: first states purpose and aggregation, second details contents, third gives usage guidance. No redundant or vague text.

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, but description fully explains return format (insights, recommendations, freshness). For a simple read tool with one parameter, this is complete and sufficient for correct invocation.

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?

Only parameter `projectId` already fully described in schema with pattern and description. Schema coverage is 100%, so baseline is 3. Description adds no extra parameter meaning beyond what schema provides.

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?

Clearly states it 'Get the AI-generated competitive action plan aggregated across all 5 monitoring dimensions,' specifying verb and resource. Distinguishes from sibling tools by positioning it as the highest-level output to start with.

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?

Explicitly says 'start here for a strategic overview before drilling into specific dimensions,' providing clear when-to-use guidance and implying alternative tools for detailed dimension analysis. Also marks as 'Read-only.'

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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