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aiexp1

Tanod MCP server

utilpeek: parse a URL (parts, IDNA, public suffix); never fetched

parse_url
Read-onlyIdempotent

Split a URL into components and public-suffix parts without fetching it. Credentials are never echoed; invalid input returns 422.

Instructions

utilpeek: parse a URL. To fetch the page use render_page. The URL is parsed, never fetched. Public-suffix split from the Public Suffix List snapshot bundled with the parser (dated 2025-04-07; suffixes added later are not known), with and without the PSL private section; credentials in the URL are never echoed. A URL that cannot be parsed is a 422 (not charged). Typically under 0.1 s. Price: USD 0.001. Free: 10 utilpeek calls per IP per UTC day. Docs: https://tanod.dev/learn/url-parser-api.html

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to parse (never fetched).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostNo
pathNo
portNo
errorNoOnly on an error result: an object {code, message}, or the reason string of an x402 PaymentRequired object.
is_ipNo
queryNo
paramsNo
schemeNo
sourceNo
fragmentNo
usernameNo
subdomainNo
host_asciiNo
idna_validNo
ip_versionNo
normalizedNo
domain_labelNo
has_passwordNo
host_scriptsNo
host_unicodeNo
icann_suffixNo
known_suffixNo
path_segmentsNo
public_suffixNo
effective_portNo
scheme_assumedNo
params_truncatedNo
suffix_is_privateNo
mixed_script_labelNo
registrable_domainNo
path_segments_truncatedNo
icann_registrable_domainNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already cover read-only, idempotent, non-destructive safety, and the description adds substantial context beyond them: PSL snapshot date (2025-04-07) and its known staleness, handling of the PSL private section, that credentials are never echoed, that unparseable URLs return 422 without charge, typical latency, and pricing/free-tier limits.

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?

Purpose and the sibling distinction are front-loaded, and the remaining detail (PSL limits, credential handling, 422, latency, price, docs) all earns its place for an agent deciding whether to call. The single dense paragraph with stacked parentheticals is slightly run-on but not wasteful.

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

Completeness5/5

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

With an output schema present, return values need not be described, and the description still covers the operational envelope an agent would otherwise guess at: no fetching, privacy of credentials, known PSL staleness, error semantics, cost, and rate limits.

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?

Only one parameter and the schema already documents it at 100% coverage ('URL to parse (never fetched).' with min/max length). The description adds behavioral context around the URL but no additional syntax, format, or normalization detail beyond what the schema provides, so the baseline 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 and resource ('parse a URL') and explicitly contrasts with the fetching sibling ('To fetch the page use render_page ... The URL is parsed, never fetched'). An agent can distinguish this from render_page, fetch_page_contents, and search_with_contents without opening any schema.

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

Usage Guidelines5/5

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

Names the alternative (render_page) and the condition that routes to it, and reiterates that this tool never performs network fetches. This is explicit when-to-use/when-not guidance rather than implied context.

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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