ship-mcp
Server Quality Checklist
Latest release: v0.2.1
- Disambiguation5/5
echo and fetch_json are completely distinct operations with no functional overlap. An agent can easily tell them apart based on purpose alone.
Naming Consistency4/5Both tool names are short imperative verbs, but 'echo' is a bare verb while 'fetch_json' follows a verb_noun pattern. The inconsistency is minor and readability remains high.
Tool Count3/5At 2 tools, the server feels thin and borderline for a general-purpose utility set. However, the tools are simple and self-contained, so the count is not drastically mismatched for a minimal demo server.
Completeness2/5The name 'ship-mcp' suggests a deployment or shipping workflow, but the tools only cover echoing and fetching JSON. There are no operations related to shipping, deploying, or managing releases, leaving the apparent domain severely undercovered.
Average 3.7/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 9 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 MIT License.
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
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Since no annotations are provided, the description carries the burden of behavioral disclosure. 'Echo a message back' conveys a side-effect-free operation and implies that the return value is the same message. The 'hello-world' comment adds useful context about the tool's simplicity, though it does not explicitly state the absence of side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that directly states the core behavior. The 'hello-world of MCP tools' phrase adds a small amount of contextual color without significant bloat, making the description concise and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter, trivial tool with no output schema, the description is sufficiently complete. It states what the tool does, the required parameter is fully documented in the schema, and the return behavior is clearly implied by 'echo back.' Nothing important is missing for an agent to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already covers the only parameter, message, with a clear description and 100% coverage. The tool description adds no additional semantic detail about the parameter, such as formatting, examples, or constraints, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: it echoes a message back. This is a specific verb and resource, and the purpose is immediately understandable. It does not explicitly distinguish itself from the sibling fetch_json, but the contrast is evident from the name and description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use echo versus fetch_json or any other alternative. The 'hello-world' phrase hints at testing or demonstration use, but the description never states that this is for verifying connectivity or debugging, nor does it mention alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does disclose the HTTPS-only constraint and the prettified return format, which are useful. However, it omits potential network side effects, timeouts, error behavior, or size limits that could matter for an arbitrary-URL fetch.
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 one concise sentence that is front-loaded with the verb and resource, followed by the output format. Every word earns its place and nothing is redundant.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool with no output schema, the description explains the action and the return treatment sufficiently for an agent to invoke it successfully. Additional error-handling or security caveats would improve it, but they are not necessary for basic correct usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% coverage of the single 'url' parameter, including its format and description. The tool description adds essentially no information beyond what the schema already states, so the baseline score of 3 applies.
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 uses the specific verb 'Fetch' with a clear resource ('JSON payload from an HTTPS URL') and states the output transformation ('return it prettified'). This makes the tool's purpose immediately distinguishable from the sibling 'echo', which would not involve remote retrieval.
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?
The description implies the tool should be used when remote JSON is needed, but it provides no explicit guidance about when not to use it or how it compares to the sibling 'echo'. There is no alternative routing, only an implied usage context.
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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- 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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