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Pryno-ai

Pryno MCP

Official
by Pryno-ai

Run readiness check

run_readiness_check
Read-onlyIdempotent

Scores a public website from 0 to 100 for AI-agent readiness, showing pass/fail checks and highest-value fixes.

Instructions

Score a public website from 0 to 100 for AI-agent readiness. The result lists each check as pass or fail with a short summary and the highest-value fixes. It does not return page excerpts.

Input Schema

NameRequiredDescriptionDefault
urlYesPublic website URL or domain to score.

Output Schema

NameRequiredDescriptionDefault
urlYes
hostYes
noteYes
fixesYes
scoreYes
checksYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint=false, so safety is covered. The description goes beyond that by disclosing the result shape ('each check as pass or fail with a short summary and the highest-value fixes') and a real negative boundary ('does not return page excerpts'), which prevents an agent from expecting page content. Minor gap: no note on failure behavior for unreachable or non-public URLs.

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 short sentences, front-loaded with the core action and scoring range, then result shape, then an explicit non-capability. No filler and nothing repeated from annotations.

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?

An output schema exists, so return values needn't be enumerated, yet the description still summarizes the result usefully and rules out page excerpts. For a single-parameter tool with full annotation coverage, only error/edge-case behavior (unreachable site, non-public URL) is left unstated — a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline would be 3; the description adds real meaning by restricting the url parameter's acceptable domain to a public website, complementing the schema's 'Public website URL or domain to score'. It does not add format or normalization details beyond the schema, so not a 5.

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 ('Score'), resource ('a public website'), and output semantics ('0 to 100 for AI-agent readiness'). The function is unambiguous and none of the siblings (list_categories, search_mcp_servers, get_mcp_server, directory_stats) overlap with it.

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?

The word 'public' implicitly constrains when the tool is applicable, and the scope ('a public website') hints at the use case. However, there is no explicit when-to-use statement, no excluded cases (e.g. private/localhost URLs), and no named alternative — though none of the siblings are genuinely competing tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.