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understand

Turns markdown/text docs, a landing page URL, and ad exports into one product profile covering audience, pricing, offer, proofs, competitors, voice, and KPIs for downstream market analysis.

Instructions

Step one for any product: read the user's documents (absolute paths to .md/.txt), a landing page URL and/or an ads export into one product profile (what it is, for whom, pricing, offer, proofs, differentiators, competitors, channels, likely objections, brand voice, KPIs, unknowns). Every later step uses it. Synchronous, one Claude call. Writes product_profile.json; pass project instead of docs to profile an existing project (also seeds the market map before the graph build).

Input Schema

NameRequiredDescriptionDefault
outNo
urlNo
docsNo
nameNo
projectNo
ads_fileNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A3.8/5.0
Behavior4/5

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

No annotations exist, so the description carries the full load — and it discloses real behavioral traits: synchronous execution, a single Claude call, a file side effect (writes product_profile.json), and a dependent side effect (seeds the market map before the graph build). It omits overwrite/error behavior and what happens when no inputs are supplied.

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?

The purpose is front-loaded in the first clause and the dense parenthetical enumerating profile fields is informative rather than filler. The closing sentence bundles three unrelated facts (output file, project mode, market-map seeding), which slightly hurts scanability.

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?

With no annotations, no output schema, and six undocumented parameters, the description is the only source of truth. It covers input modes, the output artifact, and key side effects well, but the two unexplained parameters and the absent failure/overwrite semantics leave a gap.

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 0%, so the description must compensate. It explains `docs` (absolute .md/.txt paths), `url` (landing page), `ads_file` (ads export) and `project` (existing project), but never mentions `out` or `name`, leaving two of six parameters undocumented anywhere.

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?

The description uses a specific verb ('read ... into one product profile') and enumerates exactly what the profile contains, so the agent knows what the tool produces. 'Step one for any product' positions it relative to the later-step siblings, though it never names which sibling to use next.

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?

It states the entry condition ('step one for any product') and an explicit alternative invocation mode ('pass `project` instead of docs to profile an existing project'). It doesn't warn about when not to use it, e.g. when a project has already been profiled, or how it differs from `research` or `quickstart`.

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