memini
Server Quality Checklist
Latest release: v0.2.1
- Disambiguation5/5
Each tool has a clearly distinct purpose: checking before editing, recalling context, recording decisions, failures, fragile files, and session summary. No overlap in functionality.
Naming Consistency5/5All tools follow a consistent verb_noun pattern in snake_case (e.g., recall_project_context, remember_decision). The pattern is predictable and clear.
Tool Count5/5With 6 tools, the set is well-scoped for managing agent memory and sessions. Each tool covers a specific necessary action without redundancy.
Completeness4/5The set covers core memory operations (load, record decisions/failures/fragile files, session summary, pre-edit check). Minor gaps exist, such as no explicit tool to list or forget memories, but the surface is largely adequate.
Average 3.7/5 across 6 of 6 tools scored. Lowest: 3/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 24 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
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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 provided. The description indicates creation and proposing memories but does not disclose side effects, whether it modifies existing data, or if the proposal requires confirmation. The behavioral footprint is partially unclear.
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?
Two sentences, concise and front-loaded with purpose. No wasted words, though could be slightly more structured with explicit parameter mapping.
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?
Moderate complexity (5 params, 3 required, no output schema). Description covers main intent but lacks details on return value and the meaning of 'proposes durable memories.' Adequate but not fully complete.
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 coverage is 0%, so the description must add meaning. It mentions what_changed, what_worked, what_failed but omits files and summary_title. It adds some context but is incomplete for all parameters.
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 records what changed, worked, and failed at session end, creating a summary and proposing memories. It distinguishes from sibling remember_* tools which focus on individual items, but does not explicitly differentiate.
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 specifies 'at the end of a work session,' providing clear context. However, it does not explicitly exclude use during a session or guide when to use this versus sibling tools like remember_decision.
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 description discloses the key behavioral trait of affecting future sessions with guardrails. However, it lacks details on persistence, reversibility, or side effects. Since no annotations are present, the description carries the full burden but is only partially sufficient.
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?
Single, front-loaded sentence with no wasted words. Efficiently conveys the core purpose and effect.
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?
Adequate for basic understanding but incomplete for complex use. Lacks information on workflow context, return value, and how this interacts with other tools like check_before_editing.
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?
With only 33% schema description coverage, the description adds no additional meaning to the parameters. It does not explain file_path format, reason purpose, or severity options beyond the schema's defaults.
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 action (mark a file as fragile/risky) and the effect (future guardrail warning or block). It distinguishes itself from sibling tools like remember_decision and remember_failed_attempt by focusing specifically on file fragility.
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 on when to use this tool versus alternatives like check_before_editing or remember_failed_attempt. No 'when not to use' or prerequisites mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description only states basic write action without detailing behavior like overwrite policy, visibility, or persistence beyond 'record'.
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?
Single sentence, front-loaded with action and resource, no wasted words.
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?
Covers purpose and parameter hints adequately for a write tool with no output schema; could clarify overwrite vs append behavior.
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?
Adds meaning beyond schema: body should contain 'what, why, evidence' in markdown, files are 'repo-relative', title is 'one-line summary'.
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 specific verb 'Record' and clear resource 'important design or implementation decision with rationale', distinguishing it from siblings like 'remember_failed_attempt' which focuses on failures.
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?
Implies usage when preventing relitigation, but lacks explicit when-not-to-use or comparison to alternatives like 'recall_project_context'.
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?
No annotations are provided. The description discloses loading important memories but does not detail side effects, authentication needs, or how multiple calls behave. It is adequate but not comprehensive.
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?
Two sentences with no wasted words. Front-loaded with purpose, followed by usage guidance. Concise and well structured.
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?
Lacks details on return format or how loaded memories are provided. With no output schema, the description should explain what the agent receives. Adequate but missing completeness.
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?
Schema coverage is 100% with a clear description. The tool description adds context on when to call but does not explain how task_description filters memories. Meets baseline for high 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 specifies the verb 'load' and the resource 'project memories', listing specific types. It clearly distinguishes from sibling tools that record memories rather than recall them.
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?
Explicitly states 'Call this at the start of a task'. While it doesn't mention when-not-to-use or alternatives, the sibling tools provide clear differentiation for recording memories.
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?
No annotations are provided, so the description must fully convey behavioral traits. It correctly indicates a write operation (recording), but does not mention side effects, permissions, or what happens on duplicate entries. Adequate but could be more transparent.
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?
Two sentences, no wasted words. Front-loaded with purpose and clear structure. Highly concise.
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?
For a simple recording tool with no output schema, the description covers the main inputs but lacks details on return behavior or limitations. Reasonably complete given the complexity, but could be enhanced.
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?
Schema coverage is low (40%). The description adds meaning by listing what to include (what was tried, why it failed, fix) which maps to params, but it omits the 'files' parameter entirely. Partially compensates but incomplete.
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 purpose: to record a failed approach to avoid repetition. It specifies what to include (what was tried, why it failed, actual fix) and distinguishes from sibling tools like remember_decision.
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 when to use it (when an approach failed). It implies alternatives like remember_decision for successful decisions, but does not explicitly name them. Clear context provided.
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 description discloses the tool checks for specific items (risks, failed attempts, fragile-file warnings) but does not describe the return format, side effects, or whether it is read-only. Without annotations, the description carries the full burden, and the lack of output schema details leaves some ambiguity.
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 two sentences long, front-loaded with the core purpose, and contains no extraneous information. Every word serves a purpose.
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 low complexity (one parameter, no nested objects) and the presence of sibling tools that cover other memory functions, the description adequately outlines the tool's role. However, it could be more complete by describing the return type or typical usage pattern.
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?
Schema coverage is 100% for the single parameter 'file_path', which already has a clear description. The tool's description adds context about configuration or deployment files, but this does not significantly enhance understanding beyond what the schema provides.
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 that the tool checks for risks, failed attempts, or fragile-file warnings before editing, using specific verbs and resources. It distinguishes itself from sibling tools like recall_project_context or remember_decision, which handle remembering or recalling context rather than checking preconditions.
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 'Always call this before modifying configuration or deployment files,' providing clear when-to-use guidance. However, it does not mention when not to use it or contrast with alternative tools like recall_project_context, which could also provide relevant 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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