MCP on My SAMP
Server Quality Checklist
Latest release: v0.1.1
- Disambiguation5/5
Each tool has a single, clear responsibility: start, stop, or check status. There is no overlap or ambiguity between them.
Naming Consistency5/5All tools follow the identical pattern of 'server_' followed by a simple verb (start, stop, status). This is perfectly consistent and predictable.
Tool Count5/5Three tools is exactly right for the narrow scope of managing a local server. Each tool is essential and earns its place without unnecessary bloat.
Completeness4/5The tool set covers the core lifecycle (start, stop, status) but lacks a restart operation, which is a common need. However, agents can still accomplish restart via stop+start, so this is a minor gap.
Average 4.1/5 across 3 of 3 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 30 commits in the last 12 weeks
- Last stable release on
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
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.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
This repository includes a glama.json configuration file.
This server has been verified by its author.
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To manually sync the server, click the "Sync Server" button in the MCP server admin interface.
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?
Annotations already declare destructiveHint=true and idempotentHint=false, but the description adds no behavioral context beyond the verb 'Stop'. It does not clarify consequences such as terminating active sessions or clearing server state. There is no contradiction with annotations, but the description relies entirely on structured metadata.
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, front-loaded sentence with no filler. It names the action and the target directly, and every word earns its place.
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 zero-parameter destructive action with annotations covering safety and an output schema present, the description is sufficient for basic invocation. It is slightly thin on operational context such as behavior when the server is already stopped, but that is not necessary for calling the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool accepts zero parameters and schema description coverage is 100%, so there are no parameter semantics to document. The baseline of 4 applies because the description cannot add meaning beyond the empty schema.
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 precise action ('Stop') and the exact target ('configured local open.mp test server'). This clearly distinguishes it from sibling tools server_start and server_status, which have complementary purposes.
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 on when to use this tool versus server_start or server_status. The description only states the action and target, leaving the agent to infer usage from the tool name and siblings rather than from explicit instructions.
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?
The annotations already declare readOnlyHint=true and destructiveHint=false, so the safe read-only nature is covered. The description adds the 'local' and 'process status' scope, but does not provide additional behavioral detail such as what exactly the status output contains or whether it might throw errors if no server is running. With the output schema present, the agent can likely infer return structure, so the description adds minimal but acceptable value.
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?
A single, front-loaded sentence delivers the essential meaning with no filler. It names the resource and the type of operation without unnecessary elaboration.
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 no-parameter, read-only status tool with an output schema present, the description is complete enough to guide correct invocation. There are no prerequisites, options, or alternatives that need clarifying beyond what the summary already provides.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so the description has no parameter meaning to add. The baseline for no-parameter tools is 4, and there is no relevant gap to compensate for.
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 a specific verb ('Return') and a clear resource ('local open.mp test server process status'), making the tool's function immediately obvious. It also differentiates itself from siblings server_start and server_stop by describing a read-only status check rather than a state-changing operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies the tool is for checking status rather than starting or stopping the server, which are the sibling operations. It does not explicitly state 'use this when you need to check status and not start/stop', but the context and naming make the intended use clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover idempotency (idempotentHint=true), read-only status (readOnlyHint=false), and destructiveness (destructiveHint=false). The description adds the 'wait for readiness' behavior, which is beyond what annotations provide, giving the agent a clear expectation of the tool's runtime behavior.
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, front-loaded sentence with no filler. Every word contributes meaning: 'start', 'configured local open.mp test server', and 'wait for readiness' are all necessary and sufficient.
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?
This is a simple tool with no parameters, an output schema, and annotations covering idempotency and safety. The description fully covers the intended action and readiness behavior, leaving no critical gaps for an agent to call it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, so there are no parameter semantics to document. Per the baseline for 0 params, a score of 4 is appropriate; the description doesn't need to compensate for schema gaps.
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 ('Start') and resource ('configured local open.mp test server') and adds 'wait for readiness' as a behavioral outcome. This clearly distinguishes it from siblings server_stop and server_status through action and intent.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The start action and readiness wait make the context obvious: this is for bringing the server up. It does not explicitly name alternatives or when-not conditions, but the sibling names and the verb provide clear contextual 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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Glama performs regular codebase and documentation scans to:
- 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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