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Glama

Meta Tag Generator

meta-tag-generator
Read-only

Generate a complete set of HTML meta tags: title, description, canonical, Open Graph, and Twitter Cards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoCanonical URL.
imageNoSocial share image URL.
titleNo
ogTypeNowebsite
twitterNoTwitter handle.
siteNameNo
descriptionNo

TDQS

A4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, so the description doesn't need to restate the safety profile. The description adds value by specifying the output scope (which tag groups are included), but it does not disclose other behavioral traits such as whether the output is raw HTML, how defaults are handled, or any side effects. No contradiction exists between 'Generate' and readOnlyHint.

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?

The description is a single, front-loaded sentence that states the purpose and lists the included tag types without any filler. Every word earns its place, making it highly efficient and easy 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?

Given the tool's moderate complexity and lack of an output schema, the description conveys that the output is a set of HTML meta tags and identifies what those tags cover. It does not mention parameter defaults or behavior when optional parameters are omitted, but for a generation tool with zero required parameters, this is a minor gap and sibling tools provide contextual alternatives.

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 coverage is 43%, and the description adds some semantic mapping by linking canonical→url, Open Graph→image/ogType/siteName, and Twitter→twitter handle. However, individual parameters like ogType and siteName are not explicitly explained, and the description does not fully compensate for the low schema coverage. The tag-category context helps but is not parameter-specific.

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 description uses a specific verb ('Generate') and a specific resource ('complete set of HTML meta tags'), then enumerates the exact tag types included: title, description, canonical, Open Graph, and Twitter Cards. This clearly differentiates it from sibling tools like meta-description-generator or canonical-tag-generator, which focus on a single tag type.

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?

The phrase 'complete set' provides clear context that this tool is for generating all major meta tags at once, implying it is the right choice when a full set is needed. It does not explicitly name alternatives or state when not to use it, but the sibling tool list makes those alternatives discoverable, so the context is clear without exclusions.

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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TDQS

B3.1/5.0
Disambiguation3/5

Most tools have distinct purposes, but word-counter and character-counter overlap heavily, and meta-tag-generator subsumes several other generators (title, description, canonical). The sheer number of adjacent content generators creates some ambiguity, though descriptions generally clarify.

Naming Consistency2/5

Tool names are inconsistent: some use snake_case (create_site, get_article, list_articles) while others use hyphenated lowercase (ad-copy-generator, meta-tag-generator, robots-txt-generator). This mixing of conventions makes it hard for an agent to predict the name for a given action.

Tool Count2/5

With 59 tools, the server is heavily over-scoped for a typical MCP server. Many tools are similar (various calculators, many content generators) and could be consolidated, making the surface bloated and harder to navigate.

Completeness3/5

The server covers a broad range of SEO tasks: site management, article generation/publishing, analytics, technical SEO, and content tools. However, there are gaps such as missing update/delete operations for articles and no backlink analysis, leaving some workflows incomplete.

Resources