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extract_branding

Read-onlyIdempotent

Extract colors, fonts, and logo from a website.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
websiteYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint: false, providing a clear safety profile. The description adds no extra behavioral context beyond the purpose itself (e.g., that it fetches data from a website), but it does not contradict the annotations. With annotation coverage, a score of 3 is appropriate.

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, concise sentence that front-loads the action ('Extract') and the output elements ('colors, fonts, and logo') and the target ('website'). Every word earns its place; there is no fluff or redundancy.

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?

The tool is simple (one parameter) and has no output schema, but the description implies the return will contain the extracted branding elements. It does not explicitly state return format or error behavior, but for a basic extraction tool with strong annotations, this is largely sufficient. It could be improved by mentioning that the output will contain the extracted items, but that is already implied.

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?

The schema defines one required parameter 'website' with no description (0% schema coverage). The description compensates by clarifying that the tool operates on a website, directly implying that the parameter is the URL or website identifier. This bridges the gap and adds meaning beyond the bare schema.

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 begins with a specific verb 'Extract' and identifies a clear resource 'colors, fonts, and logo' from a 'website'. This clearly distinguishes it from sibling tools, which all deal with templates, PDFs, or status. The purpose is unambiguous and actionable.

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 description implies usage when one needs branding elements from a website, but it does not state explicit when-to-use conditions or exclusions. It does not mention any alternatives or when not to use it. While the context of sibling tools suggests it is for extracting website branding, the description itself provides no direct guidance.

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
Disambiguation4/5

Most tools are clearly separated by resource (document vs deck) and lifecycle stage (create, preview, status, download). generate_deck and get_research_deck both produce decks and could be confused, and preview_template overlaps with the preview step inside fill_template, but descriptions mostly clarify intent.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (create_, list_, get_, save_, download_). The verbs are simple and each noun clearly identifies the target resource, making the set predictable.

Tool Count5/5

11 tools is well-scoped for a document and deck generation server. Each tool covers a distinct step in the workflow without excessive fragmentation.

Completeness4/5

The document lifecycle (template -> fill -> preview -> status -> download) and deck workflow (templates -> generate/research -> save) are well covered. Minor gaps include no template update/delete and no way to list or retrieve saved decks, but agents can complete core tasks.