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Howseen

Request search-engine indexing

request_indexing

Submit a published article to the search engines connected for the brand: Google (sitemap re-submit through Search Console when connected with indexing), Bing (Webmaster key) or IndexNow for pages hosted by Howseen. If you publish on your own site from the API or feed, pass url (the live https address of the article on the brand's domain): Howseen records it and tracks indexing there. At most once per article every 24h. Preview first; confirm: true submits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoLive https URL of the article on the brand's own site (needed when you publish it yourself from the API or feed).
brandNoBrand id, name or domain (from list_brands). Optional when the account has a single brand.
confirmNoLeave out (or false) to get a preview: nothing changes. Set true ONLY after the user approved that exact preview.
article_idYesId of a published article.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Beyond the annotations (readOnlyHint=false, openWorldHint=true, destructiveHint=false), the description discloses a rate limit (at most once per article every 24h), that the call reaches external services, and that confirm:true is what actually submits while omitting it yields a no-op preview. It does not cover error behavior or what happens on a rejected/duplicate submission.

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?

It is dense and front-loaded with the action and targets, and the critical safety rule (preview then confirm) lands at the end where it is memorable. The url explanation is somewhat restated from the schema, costing a little efficiency.

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?

For a 4-parameter, single-required-param mutation tool with no output schema, the description covers rate limits, the preview/confirm contract, and the conditional url case. Return handling is not described, but the text notes Howseen records and tracks indexing, which is sufficient context.

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 all four parameters are already documented, and the description largely reinforces that (url conditional, brand optionality, confirm semantics). It adds little syntax or format detail beyond the schema, so 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?

The definition states a specific verb and resource (submit a published article for search-engine indexing) and names the concrete downstream targets (Google, Bing, IndexNow). An agent can immediately distinguish this from publishing or refreshing siblings.

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 a clear conditional for passing url (only when you publish on your own site from the API or feed) and prescribes a workflow: preview first, then confirm: true. It does not explicitly name an alternative tool or state when not to call it, so it falls just short of a 5.

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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