mcp-hardened
Server Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
Each tool has a clearly distinct purpose: ping for smoke testing, search_files for reading a note, query_records for searching records, and fetch_doc for retrieving a URL. There is no overlap or ambiguity between them.
Naming Consistency3/5Three tools follow a verb_noun pattern (search_files, query_records, fetch_doc), but 'ping' is a standalone command and 'search_files' is misleading since it actually reads a note rather than searching files. This mixing of conventions reduces consistency.
Tool Count5/5The four tools form a compact and well-scoped set for a lightweight server, covering a smoke test, file access, record lookup, and URL fetching without unnecessary bloat.
Completeness3/5The toolset offers read operations for different resources but lacks discovery methods (e.g., listing notes, categories, or available URLs) and any write capabilities. This limits the ability to perform full workflows without prior external knowledge.
Average 3.4/5 across 4 of 4 tools scored. Lowest: 1.9/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 41 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
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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?
Annotations already declare the operation as read-only and non-destructive, so the description adds little beyond noting the 'sandbox directory' scope. It fails to explain how the query is used or what behavior results, especially given the mismatch between the name and description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short (one sentence), but this is under-specification rather than conciseness. It lacks essential information about the query parameter and the tool's actual purpose, making it ineffective.
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?
Despite having an output schema and only one parameter, the description is incomplete due to the name/description contradiction, lack of parameter semantics, and no usage context. It does not sufficiently leverage existing structural information or provide additional necessary context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description entirely omits the meaning of the 'query' parameter. The phrase 'Read a note' does not clarify how a query string factors into the operation, leaving the only parameter completely unexplained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Read a note') and a location ('sandbox directory'), but this conflicts with the tool name 'search_files', which suggests a search operation. It does not distinguish from siblings like fetch_doc or query_records, and the actual purpose is unclear given the query parameter.
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?
The description provides no guidance on when to use this tool versus the sibling tools (ping, query_records, fetch_doc). It only states a generic action without context or exclusions, leaving the agent without direction for tool selection.
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?
Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds the behavioral detail that the output is 'text', which is useful context. However, it does not disclose error handling, URL format expectations, or other runtime behaviors beyond this.
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 sentence, front-loaded with the verb, and contains no unnecessary words. Every element contributes to understanding the tool's core function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter) and the existence of an output schema, the description is minimally adequate for basic invocation. However, it lacks usage guidance and behavioral edge cases, making it incomplete for a fully informed agent decision.
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 schema has one parameter 'url' with no description. The description clarifies that the URL points to a document, providing essential meaning. However, it does not specify URL schemes, encoding, or other constraints, so compensating for 0% schema coverage is only partially achieved.
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' and clearly identifies the resource (a document at a URL) and the output (text). This distinguishes it from siblings like search_files or query_records, which are search-oriented rather than direct fetches.
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 provided on when to use this tool versus alternatives. There is no mention of scenarios, exclusions, or preconditions, leaving the AI without context for selecting this tool over its siblings.
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?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds minimal behavioral context ('by category'), but does not disclose pagination, matching behavior, or limits.
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 concise sentence with no redundant words, front-loading the purpose effectively.
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?
Given the simple single-parameter read-only tool with an output schema present, the description is largely complete; however, it lacks usage guidance and any detail about filtering behavior, so it is adequate but not rich.
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?
Schema has only one required parameter 'filter' with 0% description coverage. The description compensates by indicating that the filter is a category, giving meaning to the otherwise generic string parameter, though it does not specify matching semantics.
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 ('look up') and resource ('records') with a scoping criterion ('by category'), clearly distinguishing it from sibling tools like search_files (files) and fetch_doc (documents).
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 provided about when to use this tool versus alternatives such as search_files or fetch_doc. The description implies it is for record lookup but does not mention exclusions or alternative tool usage.
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 declare readOnlyHint=true and idempotentHint=true, so the safe read-only behavior is covered. The description adds the context that this is a smoke test, confirming it is a lightweight utility with no side effects. It does not contradict any annotation.
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 only two short sentences, front-loaded with the primary action and followed by the usage caveat. It contains no fluff and every word contributes to understanding.
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 trivial tool with a single parameter, strong annotations, and an output schema present. The description fully covers its purpose and usage. The 'smoke test only' caveat is sufficient guidance for when to use it. No additional details are needed.
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 schema has only one parameter ('message') with no description, so the tool description must clarify its meaning. 'Echo a message back' implies the message parameter is the text to be echoed, but it does not provide additional details such as format, length limits, or echo behavior. The description offers minimal compensation for the 0% schema coverage.
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 clearly states the tool's function: 'Echo a message back.' The phrase 'Smoke test only' clarifies its limited scope, distinguishing it from siblings like search_files and query_records which perform substantive operations. This is a specific verb+resource with clear scope.
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 explicitly says 'Smoke test only,' which tells the agent this tool is intended solely for connectivity checks and not for real-world data retrieval. While it does not name alternative tools, the context is clear enough that the agent should not use this for substantive tasks.
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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