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B2B Competitor Teardown — AI Battlecard Generator

b2b_competitor_teardown
Read-only

Give a competitor domain; get a full AI battlecard — positioning, tech stack…. Give a competitor domain; get a full AI battlecard — positioning, tech stack, pricing, recent moves, strengths, weaknesses and exactly how to win against them.

Input Schema

NameRequiredDescriptionDefault
inputNoInput for B2B Competitor Teardown — AI Battlecard Generator. See https://apify.com/noniner/b2b-competitor-teardown.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true and openWorldHint=true, so an agent knows this is a safe, live-web read. The description adds genuine value by enumerating what the battlecard contains, which matters because no output schema exists. It says nothing about processing time, crawl depth, or what happens when a domain is unreachable.

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

Conciseness2/5

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

The content is front-loaded and short, but the text is literally duplicated mid-sentence with a truncation ellipsis ('positioning, tech stack…. Give a competitor domain; get a full AI battlecard'), which wastes attention and signals an unpolished definition.

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

Completeness3/5

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

Listing the battlecard sections compensates for the missing output schema and is the description's strongest contribution. What is missing is how to construct the single nested input object and how this differs from the several competing competitor-analysis siblings, which leaves the definition only partially self-sufficient for a one-parameter, open-world 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 coverage is nominally 100%, but the schema is a placeholder: a single nested 'input' object whose description just links to the Apify page. The description usefully reveals that the meaningful argument is a competitor domain, which the schema never states. However, it gives no guidance on field naming or structure for the nested object, so the agent still has to guess the payload shape.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: give a competitor domain, get an AI battlecard. The list of deliverable sections (positioning, tech stack, pricing, recent moves, strengths, weaknesses, how to win) makes the scope concrete. It does not distinguish itself from near-neighbors like b2b_competitor_monitor, competitor_pulse, or dtc_brand_teardown, so an agent cannot route between them from the description alone.

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

Usage Guidelines2/5

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

The only implied usage is 'supply a domain'. There is no statement of when to prefer this over b2b_competitor_monitor or competitor_pulse, no prerequisites (live web access, open-world crawling), and no exclusion of unsuitable inputs such as internal domains or non-B2B companies.

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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