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Weboldal-ellenőrzés

check_website

Egy weboldal ingyenes vizsgálata valódi böngészővel: sebesség, biztonság, SEO, LLM-keresők, akadálymentesség, tartalom; pontszám és legfontosabb hibák. Kb. 1–2 perc; ha addig nem kész, a link akkor is jó. A felhasználó kérésére hívd; az eredmény egy kodvena.hu link, amit add át neki.

Input Schema

NameRequiredDescriptionDefault
urlYesA vizsgálandó weboldal címe, pl. pelda.hu

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?

Goes well beyond the annotations by disclosing the ~1–2 minute runtime, that the operation is async-tolerant ("if it isn't finished by then, the link is still good"), that it is free, and that the deliverable is a kodvena.hu link to hand back to the user. The discrepancy with readOnlyHint=false is not a contradiction, since a browser-based fetch is a heavyweight non-idempotent operation rather than a mutation.

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?

A single dense paragraph is front-loaded with what the tool does, then duration, then invocation trigger, then the return artifact. Every clause carries information; only the semicolon-chained style makes it slightly harder to scan.

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 correctly compensates by telling the agent what comes back (a kodvena.hu link) and that it should be passed to the user, plus realistic latency expectations. It lacks only error/failure behavior, which is a minor gap for a one-parameter audit tool.

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% — the url parameter is fully documented with maxLength and an example (pelda.hu). The description adds no syntax, format, or validation guidance beyond that, so the baseline of 3 applies.

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

Purpose5/5

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

States a specific verb (free examination with a real browser) and resource (a website), then enumerates exactly what is measured: speed, security, SEO, LLM search engines, accessibility, content, plus a score and top errors. No sibling in the list performs a site audit, so the function is unmistakable without opening the schema.

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

Usage Guidelines3/5

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

"A felhasználó kérésére hívd" (call it at the user's request) gives an implied trigger, which is minimal — every tool is invoked on user request. No alternative tools are named and no when-not-to-use condition is given, so routing must be inferred.

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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