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Open Graph tag count, markup discarded

og-tag-count

Open Graph tag count, markup discarded

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check
websiteNoPublic https website (homepage domain) to check for agent readiness: robots.txt, llms.txt, sitemap.xml, extractable HTML. Bounded, identified, robots-respecting.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / website
      Added value: +{
      +  "description": "Public https website (homepage domain) to check for agent readiness: robots.txt, llms.txt, sitemap.xml, extractable HTML. Bounded, identified, robots-respecting.",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Markup discarded' gives a small hint about the output form, but it does not disclose whether the tool fetches a URL, what it returns beyond a count, whether it calls external services, or how it handles errors.

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?

The description is extremely short and contains no filler; 'markup discarded' is a worthwhile output clarification. However, it is a fragment rather than a structured sentence, and the extreme brevity shades into under-specification.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With ten optional parameters, zero required parameters, no output schema, and no annotations, a one-line phrase is not enough. The description does not say which input is the Open Graph source, what the count value looks like, or when to call this tool, making it easy for an agent to call it incorrectly or with the wrong parameter.

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 description coverage is 100%, so the baseline is 3 even without parameter details in the description. The descriptions exist, but they are not aligned with the apparent Open Graph purpose: 'url' says 'normalize or cite' and 'website' says 'agent readiness', so the description adds no help in choosing a parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is nearly a restatement of the tool name: 'Open Graph tag count' is a noun phrase rather than an explicit verb-plus-resource statement. It adds only 'markup discarded' as an output hint, but never says what input is counted or how this differs from sibling fetch/shape tools.

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

Usage Guidelines2/5

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

There is no guidance about when to use this tool versus alternatives like web-fetch, fetch-status, or domain-shape. It also does not tell the agent which of the ten optional parameters to populate, so the caller is left to guess.

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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