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competlab

competlab-mcp-server

get_pricing_dashboard

Retrieve current competitor pricing intelligence with structured plans, market statistics, and AI-powered gap analysis to identify strategic opportunities.

Instructions

Get the latest Pricing Intelligence for all competitors. Returns structured pricing plans (name, price, billing interval, summary — up to 5 plans per competitor), market pricing statistics, pricing gap analysis, and AI analysis with insights and actions. Use this for the current snapshot; use get_pricing_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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states 'Read-only' (critical safety information) and details the return structure extensively (pricing plans, statistics, gap analysis, JSON format), compensating for the lack of output schema. It does not, however, mention error conditions or rate limits.

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?

The description contains four sentences, each earning its place: purpose statement, return structure details, usage guidelines, and safety/format declaration. There is no redundant or wasted language, and critical information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of annotations and output schema, the description adequately compensates by declaring the read-only nature and detailing the JSON return structure (including specific fields like 'billing interval' and 'pricing gap analysis'). It meets expectations for a single-parameter dashboard retrieval tool, though error handling documentation is absent.

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?

The input schema has 100% description coverage with 'Project ID (from list_projects)', so the schema fully documents the parameter. The description adds no additional parameter semantics, but per the rubric, the baseline is 3 when schema coverage is high and no param info appears in the description.

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 uses a specific verb ('Get') and resource ('Pricing Intelligence for all competitors') to clearly define the tool's function. It explicitly distinguishes this from the sibling tool get_pricing_history by specifying this retrieves the 'latest' and 'current snapshot' versus historical data.

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?

The description provides explicit when-to-use guidance ('Use this for the current snapshot') and explicitly names the alternative tool for the complementary use case ('use get_pricing_history for past runs'), satisfying the highest standard for usage guidelines.

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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