Competitive analysis report ($1.00). Pass two domains, get a head-to-head comparison across 8 dimensions: security headers, SEO quality, Lighthouse performance, SSL health, email security (SPF/DMARC), social presence, infrastructure (CDN/IPv6), and domain maturity. Returns winner per category and overall verdict.
| Name | Required | Description | Default |
|---|---|---|---|
| domain1 | Yes | First domain (e.g., google.com) | |
| domain2 | Yes | Second domain (e.g., bing.com) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of conveying behavior. It mentions the cost ($1.00) and the specific categories analyzed, which is useful. However, it does not disclose details like response time, potential limitations (e.g., if domains are unreachable), or whether the analysis is real-time or cached. The cost disclosure adds transparency, but more behavioral context would be beneficial.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and information-dense. It conveys the purpose, cost, inputs, output structure, and evaluation criteria in two sentences. No wasted words, and the most important details (what it does, cost) are front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (two simple string parameters, no output schema), the description provides a complete picture: what the tool does, what it covers, and what output to expect. The description compensates for the lack of annotations and output schema by detailing the 8 dimensions and the verdict. No significant gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema coverage is 100%, with parameter descriptions for domain1 and domain2. The description restates the requirement ('Pass two domains') but doesn't add new meaning beyond what the schema provides. It does clarify the output structure (head-to-head comparison), which indirectly aids understanding, but for parameters themselves, it's baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: a competitive analysis report comparing two domains across 8 specified dimensions. It distinguishes itself from siblings like site_audit or domain_enrich by focusing on head-to-head comparisons and returning a winner per category and overall verdict.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use it (for competitive analysis between two domains) and lists the exact input requirements. It doesn't explicitly state when not to use it or name alternatives, but the clear focus sets expectations. It could mention that it's not for single-domain audits, but overall adequate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools have overlapping functionality, such as domain_infra, company_report, and due_diligence all covering DNS/WHOIS/SSL checks. Similarly, web_scrape and scrape_structured both extract website content, and verify_email overlaps with email_audit on DNS-based email checks. This creates ambiguity in tool selection, especially for agents looking for a specific type of analysis.
All tool names use lowercase with underscores, which provides a consistent style. However, the grammatical pattern varies: some are verb-object (verify_email, currency_convert), some are noun-noun (domain_infra, site_audit), and others are adjective-noun (arabic_sentiment, brand_scout). This is not chaotic, but it lacks a rigid verb_noun convention, making it slightly less predictable.
With 25 tools, this sits at the upper boundary of what is considered 'heavy' but is still usable. The server covers a wide range of domains (Arabic NLP, web scraping, domain/email analysis, finance, faith), so the count is justified to a degree, but agents may be overwhelmed by choice. It is borderline appropriate for such a broad utility server.
The tool surface covers many common operations (scraping, DNS checks, email verification, financial data), but there are notable gaps. For example, no generic translation tool exists, only Arabizi-to-Arabic, and there is no text generation or embedding. While the set is extensive, it is not fully comprehensive for the diverse domains it touches, leaving some obvious missing operations.