check_robots_sitemap
Check whether a site has a valid robots.txt and sitemap.xml, and return their raw contents (truncated).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Any URL on the site to check (origin is derived from it) |
Check whether a site has a valid robots.txt and sitemap.xml, and return their raw contents (truncated).
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Any URL on the site to check (origin is derived from it) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the disclosure burden. It usefully reveals that results are read-only and that raw contents are returned truncated, but it does not explain validity criteria, truncation limits, or failure behavior for missing files.
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?
A single sentence front-loads the action, scope, and return behavior with no filler. Every phrase adds information.
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?
The tool is low-complexity with one well-documented parameter, and the description covers what the call returns. Some detail is missing around truncation length and output shape, but nothing essential prevents an agent from invoking the tool correctly.
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?
Schema coverage is 100% and the one parameter is already described ('Any URL on the site to check (origin is derived from it)'). The description adds no parameter-level detail, so the baseline score of 3 is appropriate.
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 names a specific verb ('Check'), a concrete resource ('robots.txt and sitemap.xml'), and an output behavior ('return their raw contents (truncated)'). This is enough to distinguish it from siblings like sitemap_url_validator, which focus on URL validation rather than presence/content checks.
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?
No explicit guidance about when to prefer this tool over alternatives such as sitemap_url_validator or ai_crawler_policy_check. The only usage cue is implied by the description, so the agent receives no exclusionary or selection criteria.
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.
Many tools audit overlapping site signals (seo_audit vs structured_data_extract vs tech_stack_fingerprint; page_performance_check vs pagespeed_insights; ssl_cert_check vs ssl_labs_grade; broken_link_check vs sitemap_url_validator), so an agent could initially pick the wrong one. Descriptions usually clarify the distinction, but the boundaries are not always obvious.
Most names follow a snake_case target+operation pattern (ssl_cert_check, email_deliverability_check), but check_open_ports and check_robots_sitemap reverse the order, and the action suffixes vary widely (check, audit, validate, lookup, extract, grade, report, insights). Still readable, but not a single predictable convention.
At 29 tools, the server is above the 25-tool threshold and feels like an undifferentiated grab bag of single-purpose audits rather than a tightly scoped toolkit. Many checks could be consolidated (e.g. the separate SSL and performance tools, or domain_report versus its component checks).
For a web/domain/email/security diagnostics toolbelt, the coverage is unusually broad: DNS, TLS, email, SEO, structured data, vulnerabilities, ports, redirects, and more are all represented. Minor gaps exist (no generic HTTP request/debug tool, no zone-transfer or full WHOIS history), but agents can accomplish most diagnostic workflows without hitting dead ends.