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Analyze a company website

analyze_company_website
Read-only

Read a company website and suggest who it sells to: the business type and the place to search next with create_lead_search. Accounts with a pack or plan. Free.

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": {
      "url": "<url>"
    },
    "name": "analyze_company_website"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYese.g. "acme.com"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the read-only and open-world nature, and the description goes beyond them by disclosing the returned content (business type plus the next search location) despite there being no output schema, and by flagging the cost/entitlement situation ("Free" but requires a pack or plan). The phrasing of that entitlement sentence is ambiguous but it is genuine added behavioral context.

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

Conciseness3/5

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

Very short and front-loaded with the core action, which is good. However, the fragment style ("Accounts with a pack or plan. Free.") and the slightly awkward "the place to search next" cost clarity that a single well-formed sentence would have avoided.

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?

With no output schema, the description does the necessary work of telling the agent what comes back (business type and recommended next search location) and where it fits in the workflow. What is missing is minor: no note on how the site is fetched, what happens on an unreachable/invalid URL, or whether results are cached.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Single parameter with 100% schema description coverage including an example ("acme.com"), so the schema carries the semantics. The description reinforces that the input is a company website URL, which is a reasonable complement but adds no format, normalization, or failure-mode detail.

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 ("read a company website") and describes the output intent ("suggest who it sells to: the business type and the place to search next"). It also names the downstream sibling create_lead_search, so an agent can distinguish this from list_searches/search_leads without opening schemas, though the telegraphic phrasing makes the purpose slightly harder to parse than it needs to be.

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?

Explicitly positions the tool as the precursor step to create_lead_search, which is the key routing decision an agent faces among these siblings. "Accounts with a pack or plan" adds an account prerequisite. It stops short of saying when NOT to use it (e.g., when a search already exists or for non-company URLs).

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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