campaign-creator-provider
Server Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
Only one tool is exposed, so there is no possibility of selecting between overlapping operations. The purpose is immediately clear and unambiguous.
Naming Consistency5/5The sole tool uses a clean snake_case verb_noun name, create_campaign, which follows common MCP naming conventions. With a single tool, consistency is trivially maintained.
Tool Count3/5A single tool is on the thin side for a general-purpose server, but create_campaign is a substantial atomic operation that directly covers the provider's stated purpose. It is borderline rather than excessive or trivial.
Completeness4/5The tool fully delivers the advertised campaign plan, copy set, and calendar generation in one deterministic action. Broader lifecycle operations like list, update, or delete are absent, but they appear outside the scope of a campaign creator.
Average 3.3/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 2 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under Apache 2.0.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full behavioral burden. It mentions 'deterministic' but does not clarify whether the tool persists data, requires authentication, or has other side effects. It lacks disclosure of mutation, idempotency, or return behavior, which is a significant gap for a creation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-formed sentence with no filler. It front-loads the primary action and key attributes (deterministic, Spanish/English) efficiently, making it easy to parse and remember.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of 6 parameters, no output schema, and no annotations, the description is inadequate. It does not explain the effect of optional parameters, expected outputs, or usage context, making it incomplete for reliable tool selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description only implicitly explains the two required parameters (URL and objective). The optional parameters (days, locale, audience, channels) are not described at all, leaving agents without guidance on their meaning or selection. This is insufficient for a 6-parameter tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb (Create) on a clear resource (campaign plan, copy set, and calendar) with defined inputs (URL and objective). It also mentions determinism and language options, making the tool's function unambiguous even without sibling tools to differentiate from.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
It implies usage when you have a URL and an objective, but it does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention optional parameters or exclusions. With no sibling tools listed, a clearer context would be beneficial.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GitHub Badge
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- Confirm that the MCP server is working as expected.
- Confirm that there are no obvious security issues.
- Evaluate tool definition quality.
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