echo
Health check that returns the provided message verbatim, confirming the Brandize MCP endpoint is reachable.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| message | Yes | Text to echo back unchanged. |
Brandize
by me.brandize
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
A4.5/5.0
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for disclosing behavior. It explicitly states the message is returned unchanged and that success confirms endpoint reachability, making the tool's no-side-effect nature clear.
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, well-structured sentence that front-loads the core purpose and avoids any redundant detail.
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?
For a one-parameter echo/health-check tool with a fully documented schema, the description is complete. There is no output schema, but the return value is inherently obvious from the promise to return the message verbatim.
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?
The input schema fully documents the single `message` parameter with a precise description, so the baseline is 3. The tool description adds no further parameter detail beyond referring to the provided message, but no additional compensation is needed.
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 clearly identifies a health-check tool with a specific behavior: returning the provided message verbatim to confirm the Brandize MCP endpoint is reachable. This distinguishes it sharply from the sibling generation and purchase tools.
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 description gives a clear context for use: verifying that the MCP endpoint is reachable. It doesn't explicitly discuss alternatives or exclusions, but no sibling tool serves a similar health-check purpose, so the intended usage is unambiguous.
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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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
A4.3/5.0
Disambiguation5/5
Each tool targets a distinct resource or action: logo generation, logo variations, variation purchase, result polling, color palette, meta tags, schema markup, pricing, blog search, and health check. The two logo-generation tools are clearly differentiated by new-job vs existing-job workflows, so an agent should not confuse them.
Naming Consistency4/5
Most tools follow a clean verb_noun convention: generate_logo, generate_color_palette, get_logo_result, search_blog, buy_logo_variation. The lone echo and the singular/plural mismatch between buy_logo_variation and generate_logo_variations are minor deviations from an otherwise consistent pattern.
Tool Count5/5
With 10 tools, the server is well scoped. The paid logo workflow is covered by generate, vary, buy, and retrieve tools, while supporting tools for palettes, SEO metadata, pricing, and blog search each serve a distinct purpose without bloat.
Completeness4/5
The core logo lifecycle is well covered: generate, create variations, purchase a variation, and retrieve the paid deliverable. However, the descriptions advertise upgrades and revision credits but provide no explicit tool to purchase or apply them, leaving a minor gap that agents must work around.