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earlylore_inspect_product

Fetch the complete commercial and product dossier for a single project (positioning, audience, features & integrations, 12-month traffic history, acquisition channels, top countries, organic keywords, authority backlinks, TrustMRR verified revenue & monthly series, public revenue claims, pricing plans & niche benchmark position, app store metrics, website change log, marketing timeline, creator profiles, and similar competitors; optionally include hero Design DNA or trigger live capture for an uncatalogued domain).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slugOrDomain": "<slugOrDomain>"
    },
    "name": "earlylore_inspect_product"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugOrDomainYesProduct slug or primary website domain (e.g. postiz.com, speel.co, linear.app)
analyzeIfMissingNoIf the domain is not catalogued yet, trigger live website capture and intelligence analysis (default false)
includeDesignDnaNoAlso attach the product’s computed hero styles (Design DNA CSS variables and layout structure, default false)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description must carry the full behavioral burden. It does disclose the significant side-effect-adjacent behavior ('trigger live capture and intelligence analysis' for uncatalogued domains) and that the payload is comprehensive, but it omits whether the call writes to the catalog, expected latency, error behavior for unknown slugs, and any 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.

Conciseness4/5

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

Single front-loaded sentence with a long parenthetical inventory. The list is dense but earns its place because there is no output schema and the enumeration is what tells the agent whether the tool covers the data it needs; only the 'similar competitors' tail feels tacked on.

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?

For a broad, read-oriented dossier tool with no annotations and no output schema, the definition supplies a full return inventory and explains both optional flags' effects. It is short only on operational expectations (latency, failure modes, when to route to sibling tools) rather than on what the tool returns.

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 100%, so all three parameters are already documented with examples and defaults. The description restates the two optional flags (Design DNA, live capture) without adding format rules or edge cases beyond the schema, so the baseline 3 applies.

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?

Opens with a specific verb and resource: 'Fetch the complete commercial and product dossier for a single project', then enumerates the payload (traffic history, revenue series, pricing, backlinks, competitors). The 'single project' scope implicitly separates it from compare_products and from narrow siblings like get_design_dna, but no sibling is named explicitly.

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

Usage Guidelines3/5

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

Usage context is only implied: the definition tells you it returns everything for one project and that you can opt into Design DNA or live capture, which hints at when the broader siblings are unnecessary. There is no explicit statement of when to prefer this over search_products, get_evaluation, or compare_products, and no note on cost/latency of the live-capture path.

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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