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Cite Files

citefiles_scan

Check whether AI assistants can reach, read and cite a public website. Returns a citation-readiness score out of 100, the category breakdown, and the specific problems found — crawler blocks, missing llms.txt/ai.txt/sitemap, thin or JavaScript-only content, missing structured data. Use this before changing a site for AI visibility, and again afterwards to check the change worked. Scans of the same site within six hours are reused.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe public website address, e.g. example.com or https://example.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose a non-obvious behavior: scans of the same site within six hours are reused, which matters for interpreting staleness. It also enumerates what is reported (score, category breakdown, specific problems). It stops short of stating rate limits or any authentication expectations, though the tool targets public sites.

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

Conciseness5/5

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

Three sentences, each earning its place: purpose and output first, then usage timing, then the caching caveat. Front-loaded and free of filler.

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 adequately describes return values (score out of 100, category breakdown, specific problems) and covers the caching behavior. For a single-parameter public read tool, little else is needed, though a note on scan duration or freshness semantics beyond the six-hour reuse would round it out.

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?

The single url parameter is fully documented in the schema (100% coverage), including format examples, so the baseline is 3. The description only adds that the site must be public, which is a marginal gain beyond the schema.

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 names a specific verb and resource ('Check whether AI assistants can reach, read and cite a public website') and states the concrete output: a citation-readiness score out of 100 plus a category breakdown. It does not explicitly distinguish itself from siblings like citefiles_crawler_access or citefiles_check_files, whose concerns (crawler blocks, missing llms.txt/sitemap) it also mentions, so an agent must infer that this is the aggregate scan.

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 gives explicit timing guidance: use before changing a site for AI visibility and again afterwards to verify the change. However, it names no alternatives and offers no exclusions, so an agent is not told when to prefer the narrower sibling tools over this broad scan.

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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