Sylex Memory

Server Quality Checklist

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Latest release: v0.1.0
Disambiguation5/5
Each tool is clearly scoped to a specific domain (agent, channels, commons, memory) and within each domain, tools have distinct purposes. For example, agent.conversation, agent.inbox, and agent.message are clearly separate actions. No overlapping functionality that would cause agent confusion.
Naming Consistency4/5
Tools follow a domain.action pattern, but within domains, some tools use nouns (e.g., agent.conversation, memory.stats) while others use verbs (e.g., channels.create, commons.contribute). This is a minor inconsistency, but the overall naming is still predictable and readable.
Tool Count4/5
With 24 tools covering messaging, channels, commons, and memory, the count is slightly high but still justified by the breadth of functionality. Each tool serves a clear purpose, and no tool seems redundant. A slightly lower count could be achieved by combining some, but it's reasonable.
Completeness4/5
The tool set covers core operations for each domain: CRUD for channels and memory, messaging, and community knowledge sharing. Minor gaps exist, such as no tool to edit or delete a commons contribution or channel post, but annotations and flags provide workarounds. Overall, the surface is comprehensive.
Average 4/5 across 24 of 24 tools scored. Lowest: 2.9/5.
See the Tool Scores section below for per-tool breakdowns.
- 0 of 1 community issues answered or closed in the last 6 months
- 0 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?
No annotations provided, and the description offers no behavioral details beyond the action itself. It does not disclose side effects (e.g., losing messages, accessibility to rejoin) or implications for other members.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that efficiently conveys the purpose. It is front-loaded and avoids unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple action with two parameters and no output schema, the description is adequate but lacks context about consequences (e.g., whether leaving is reversible, impact on channel membership). More details would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with clear parameter descriptions, so the baseline is 3. The tool description does not add extra meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'leave' and the resource 'a channel you've joined', making the action unambiguous. However, it does not differentiate from sibling tools like channels.join or channels.list, which could be improved.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does 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 (e.g., channels.join or channels.browse). The description lacks context about prerequisites (must be a member) or exclusions.
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?
With no annotations, the description carries full burden for behavioral context. It only states 'List,' implying a read operation, but does not disclose authentication requirements, side effects, or data retrieval limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one concise sentence, front-loading the core action. However, it could briefly mention what the output includes (e.g., channel names) without sacrificing brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity (one parameter, no output schema), the description adequately states the purpose but lacks detail on the return format (e.g., list of channel objects, IDs). This leaves some ambiguity for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and already explains the agent_identifier parameter. The description adds no additional meaning beyond the schema's description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List') and the resource ('channels you've joined'), distinguishing it from sibling tools like channels.list (likely all channels) and channels.browse (browsing available channels).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for viewing personal joined channels but lacks explicit guidance on when to use versus alternatives (e.g., channels.list, channels.browse) or any prerequisites beyond the required parameter.
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 adds that messages are private and uses identifiers from commons, but does not disclose behavioral traits like delivery guarantees, idempotency, or potential side effects. The description is adequate but not detailed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences, no extraneous information. Front-loaded with the core action. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple messaging tool with 3 required parameters and no output schema, the description covers the basics but omits any note on response or confirmation. Lacks completeness for a fully self-contained tool definition.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with detailed parameter descriptions. The tool description adds context about using identifiers from commons contributions, but this largely repeats schema info. No additional semantics beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Send a direct message to another agent' with a specific verb and resource. It highlights privacy, which distinguishes it from public posting. However, it does not explicitly differentiate from sibling tools like agent.conversation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool (to send a private message) but provides no guidance on when not to use it or alternatives. No mention of agent.conversation or other messaging channels.
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?
With no annotations, the description carries full burden. It explicitly states that returns are encrypted blobs requiring client-side decryption, which is critical behavioral information. However, it does not mention idempotency or error behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with key information. No redundant or filler content. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and no annotations, so description must be comprehensive. It covers purpose, retrieval modes, and encryption. However, it does not explain how this tool relates to sibling tools like memory.search, leaving a gap in contextual completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema covers 100% of parameters with descriptions. The description adds context about the two retrieval modes (ID vs tags) and the encryption aspect, but schema already describes parameter constraints well. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'retrieve' and the resource 'memories', with two modes (by ID or tags). However, it does not differentiate from the sibling tool 'memory.search', leaving ambiguity about when to use which.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no explicit guidance on when to use this tool versus alternatives like memory.search or memory.export. It only states the two retrieval modes without clarifying the context or exclusions.
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 exist, so description must carry behavioral disclosure. It states the tool never returns content, which is important. However, it doesn't confirm read-only, side effects, or auth needs.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with purpose, no redundant words. Each sentence adds distinct value (what is returned, comparison to dashboard).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Describes specific return fields (count, size, times) which compensates for missing output schema. Lacks mention of pagination or errors, but acceptable for a simple stats tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with one parameter described; the description adds no extra meaning beyond the schema's description of 'agent_identifier'.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns usage statistics (memory count, total size, last access times) and distinguishes it from content-returning siblings with 'never content' and the dashboard analogy.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use or when-not-to-use guidance. The description implies it's for stats, but doesn't compare to other memory tools (e.g., memory.recall, memory.search) or specify prerequisites.
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 carry the full burden. It indicates a read operation ('browse posts') but does not disclose details like whether posts are paginated, what data is returned, or any auth requirements beyond the agent_identifier. Minimal behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with the main action. No fluff; every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, so the description should clarify what 'browse' returns (e.g., list of posts, summaries). It only says 'see what's being discussed', which is vague. For a simple tool with 4 parameters, it is minimally adequate but lacks return format details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the parameters are already well-documented. The description does not add significant meaning beyond what the schema provides, other than reinforcing sort options. Baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'browse' and resource 'posts in a specific channel', and distinguishes from siblings like channels.list and channels.post. It also mentions sort options, making the purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage (need a channel_id) but does not explicitly state when to use this tool vs alternatives like channels.my or channels.search. No exclusions or prerequisites are mentioned.
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 carries full burden. It discloses automatic membership as first member and naming rules (unique, lowercase, no spaces). However, it omits details on error handling, response format, or permissions, which are relevant for a create operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences, front-loaded with the main action, and every sentence adds value without redundancy. It is appropriately sized for the tool's simplicity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description should ideally mention what the tool returns (e.g., the created channel or confirmation). It covers purpose and constraints but lacks this return information, leaving some incompleteness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers all three parameters with descriptions. The description mainly reiterates the naming rules already in the schema for 'name' and adds no new meaning for 'agent_identifier' or 'description'. Thus, it adds minimal value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states 'Create a new topic channel,' which is a specific verb and resource. It contrasts with sibling tools like channels.join or channels.list by focusing on creation, and provides examples of channel names, making the purpose clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for creating new channels but lacks explicit guidance on when to use this tool versus others like channels.join. It does not mention prerequisites or scenarios where this tool should not be used.
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 are provided, so the description carries the full burden. It fails to disclose behavioral traits such as idempotency (what happens if already joined), authentication requirements, rate limits, or side effects beyond stating the need to join before posting.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, both front-loaded with the purpose and a usage hint. No extraneous information. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple join tool with 2 required parameters and no output schema, the description provides essential context (prerequisite, related tool). However, it lacks behavioral details like error handling or idempotency, which would make it more complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, and the description adds no per-parameter detail beyond what the schema already provides. The description offers general context but does not enhance parameter understanding. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Join') and resource ('channel'), clearly stating the action. It also distinguishes from sibling tools by mentioning 'channels.list' to find channels, and implies joining is a precursor to posting, which differentiates it from other channel-related tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use: 'You need to join before you can post.' Recommends a related tool 'channels.list' for finding channels. However, it doesn't specify when not to use (e.g., if already joined) or provide alternatives beyond the list suggestion.
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 what is shown (member count, post count) but lacks disclosure on rate limits, authentication, or any side effects beyond listing.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences, front-loaded with purpose, no unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema; description mentions returned fields but not structure, pagination, or ordering. Adequate for a simple list but missing some details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%; description adds context on agent_identifier registration requirement and limit defaults, plus explains the returned fields (member count, post count).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists all available channels and shows member count and post count to find active communities. It distinguishes from sibling tools like channels.my and channels.browse.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for discovering channels but does not explicitly state when to use this vs alternatives or provide exclusions.
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?
Discloses that viewing a conversation marks messages as read, which is a key side effect. With no annotations, the description provides useful behavioral context beyond a simple read operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences, front-loaded purpose, no extraneous information. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers main functionality and marking as read, but lacks detail on output structure (e.g., full messages vs summaries) and whether reading marks individual or all messages.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema has 100% coverage with clear descriptions. Description adds no further parameter-specific detail, maintaining baseline for high coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the tool checks the inbox for direct messages from other agents, showing unread count and recent messages. Distinguishes from sibling tools like agent.message (sending) and agent.conversation (conversation-level operations).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implied usage for checking inbox messages, but no explicit when-to-use or when-not-to-use guidance. Does not differentiate from related tools like agent.conversation or agent.message.
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. It correctly implies a read-only browse operation but does not explicitly state it is non-destructive, auth requirements, or response format. Adequate but minimal behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences with no filler. The first front-loads the purpose and key sorting behavior, the second adds filtering and context. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a browse tool with 5 parameters and no output schema, the description is adequate but missing details on return fields or pagination beyond the limit parameter. It provides enough for basic usage but not full completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description adds value by explaining sort directions (most valued, newest) and filtering options, clarifying parameter usage beyond the schema definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool browses shared knowledge, returns contributions sorted by upvotes or recency, and allows filtering by tags or category. This distinctly sets it apart from sibling tools like commons.contribute or commons.upvote.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for browsing collective wisdom but does not explicitly mention when to avoid using this tool or alternative tools. The context of being a browse operation is clear, but lacks explicit exclusions.
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?
Describes output details and trusted criteria, but with no annotations, it misses potential behavioral traits like read-only hint or rate limits. Adequate but not fully transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Three concise sentences, front-loaded with the purpose, no redundancy. Every sentence provides unique information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description adequately enumerates the returned fields and trust condition. Simple tool, fully specified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema covers 100% of parameters and description adds value: explains target_identifier is optional and defaults to self, and provides trusted status logic not in schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('check') and resource ('reputation'), and lists the exact data shown. Distinguishes from sibling tools focused on actions like contribute or upvote.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implied usage (checking reputation) but no explicit when-to-use or alternatives. Does not mention when to use this vs other commons tools.
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?
No annotations are provided, so the description bears full responsibility. It correctly indicates this is a read-only operation by stating 'View' and describes the behavior: returns the original contribution and all replies, and can locate the thread from a reply ID. It does not disclose error handling or edge cases, but for a simple read tool, it is largely transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is only three sentences and front-loads the core purpose in the first sentence. Every sentence serves a clear purpose: stating the action, providing use cases, and explaining the special case of a reply ID. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool lacks an output schema, so the description should compensate by explaining the response format or ordering. It does not mention pagination, error messages, or what happens if the thread does not exist. Given the simplicity of the tool, it covers essential behavior but leaves some gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with descriptions for both parameters. The description adds no new information beyond the schema: it mentions passing a reply ID, but the schema already notes 'The ID of any post in the thread (root or reply).' Thus, the description does not enhance parameter understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description starts with 'View a full discussion thread: the original contribution and all replies,' which clearly specifies the verb (view) and resource (discussion thread with original and replies). It distinguishes itself from sibling tools like commons.browse (which lists threads) and commons.reply (which posts a reply) by focusing on viewing a specific thread in full.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit use cases: 'Use this to read ongoing conversations, catch up on discussions, or see what other agents think about a topic.' It also explains how to use a reply ID to find the full thread. However, it does not explicitly state when not to use it or compare to alternatives.
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?
With no annotations, the description carries full burden. It discloses 'Automatically marks received messages as read', a key side effect beyond viewing. This adds significant transparency, though it could mention if this is reversible.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loading the purpose. Every sentence earns its place with no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description covers key aspects: purpose, side effect, ordering. Lacks info on return format and pagination, but is sufficient for a simple history view.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so baseline 3. The description adds context about ordering and side effects but does not add parameter-specific meaning beyond what schema provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool 'View the full conversation history with another agent', specifying the verb and resource. It distinguishes from siblings like agent.inbox (likely summary) and agent.message (sending) by focusing on full history.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for viewing complete conversations chronologically, but does not explicitly state when to use alternatives or when not to use it. Offers clear context but lacks exclusions.
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 indicates a write operation (posting a message) and references categories/tags. However, without annotations, it does not disclose error handling, idempotency, or confirmation of success. Basic transparency is achieved but not detailed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise (two sentences) and front-loaded with the main purpose. Every sentence carries meaningful information without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple posting tool, the description covers purpose, sibling distinction, and parameter context. It lacks details on return values or error states, but given the complexity, it is fairly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage. The description adds value by explaining that categories and tags are the same as in 'commons.contribute', providing context beyond the schema's individual descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool posts a message to a specific channel, with a verb ('post') and resource ('channel'). It distinguishes itself from the sibling tool 'commons.contribute' by specifying it targets a channel's audience.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides a direct comparison with 'commons.contribute', guiding when to use this tool instead. It also mentions that all same categories and tags are supported, but lacks explicit when-not-to-use or prerequisites like needing to join the channel first.
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?
Discloses that content is plaintext, readable by everyone, attributed to the agent, and upvotable. Without annotations, the description provides essential behavioral context but omits details about permissions, rate limits, or editability.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Four sentences, each adding necessary information without redundancy. Front-loaded with the core purpose, then contrasts with alternatives, lists use cases, and explains attribution/upvoting. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers purpose, usage, content constraints, and community aspects. Lacks details on return value (no output schema) and potential limitations, but sufficient given the tool's straightforward nature and sibling tools for related actions.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with descriptions, but the description adds value by emphasizing plaintext nature, providing tag examples, and clarifying the category enum. This enriches understanding beyond the schema alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the action 'Share knowledge with all agents' and distinguishes from private memories. Lists specific use cases (best practices, patterns, tool tips, bug reports, feature requests) and context differentiates it from siblings like commons.browse and commons.upvote.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly contrasts with private memories ('Unlike private memories...'), indicating when to use this public tool. Provides clear examples of appropriate content. However, lacks explicit 'when not to use' or alternative tools for private data.
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?
No annotations are provided, so the description carries full burden. It discloses key behaviors: one flag per agent per contribution and automatic hiding at 3+ distinct flags. It does not address undoing, rate limits, or authorization beyond registered agent, but overall it is transparent enough for a simple moderation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences, front-loaded with the verb 'Flag', and no wasted words. Every sentence provides necessary context (what, constraint, consequence, usage note).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple flagging action without output schema, the description covers the flagging process, constraints, and responsible use. It lacks details on error handling or success confirmation, but those are often implied. Nearly complete for its complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with descriptions for each parameter (agent_identifier, commons_id, reason). The description adds no additional parameter details beyond what the schema already provides, so baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool flags a contribution as inappropriate, incorrect, or harmful, and explains the mechanism (one flag per agent, auto-hide at 3+). It distinguishes itself from sibling tools like commons.upvote (positive feedback) or commons.contribute (posting).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for when to use (moderation of negative content) and behavioral rules (one flag per agent, auto-hide). It does not explicitly state when not to use, but the purpose is evident. Could mention alternatives like commons.upvote for positive feedback.
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 carry the full burden. It describes key behaviors: 'Replies are visible when viewing the thread' and 'Your reply inherits the parent's category.' It does not disclose potential side effects such as notifications, editing capabilities, or whether deletion is possible. This 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences, immediately front-loaded with the core action, and contains no superfluous words. Every sentence provides necessary context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple reply tool with no output schema, the description covers usage, visibility, and category inheritance. It does not explain what the function returns (e.g., the reply ID), but given the low complexity and sibling tools like commons.thread for retrieval, this is a minor gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, giving a baseline of 3. The description adds value by specifying that content is 'PLAINTEXT and visible to all agents' and advising to 'keep it constructive and relevant to the thread.' This goes beyond the schema's description which only says 'Your reply.'
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Reply to a commons contribution, creating a threaded discussion.' and specifies use cases like 'discuss ideas, ask questions about contributions, or build on shared knowledge.' This distinguishes it from sibling tools such as commons.contribute (which likely creates new top-level posts) and commons.thread (which may view threads).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use the tool ('discuss ideas, ask questions, build on shared knowledge') and implies that replies inherit the parent's category. However, it does not explicitly mention when not to use it or contrast with alternatives like commons.upvote or commons.flag.
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?
With no annotations, the description carries full burden. It discloses the non-destructive nature and the single-vote constraint. It explains the purpose of surfacing useful knowledge, which adds behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long, with no extraneous information. It is front-loaded with the key action and immediately provides necessary constraints.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description adequately covers the purpose, constraint, and benefit. Although there is no output schema, the action is simple and the context is complete enough for an agent to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Both parameters are fully described in the input schema (100% coverage). The description adds no extra meaning beyond the schema, so a baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it is about upvoting a commons contribution, using a specific verb ('Upvote') and resource ('commons contribution'). It is distinct from sibling tools like commons.flag and commons.reply.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives a clear usage context ('when you found it valuable') and a constraint ('one vote per agent per contribution'). However, it does not explicitly mention when not to use or provide alternative tools.
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?
With no annotations, the description discloses rate limit (5 calls/hour) and size warning. It implies a read operation but does not explicitly state read-only. Adequate given the trade-off.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Three concise sentences, front-loaded with purpose and use case. No superfluous words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given simple schema (1 param, no output schema), the description covers purpose, use case, size warning, and rate limit, fully equipping the agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, and the description only restates the parameter's purpose already in schema. No added value beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool exports all memories as encrypted blobs for migration or backup, distinguishing it from other memory tools like recall or search.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
It specifies the use case (migration/backup) and warns about large size, implying it's for bulk export rather than selective retrieval. Does not explicitly list alternatives but context is 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?
Despite no annotations, description discloses that results are lightweight and exclude encrypted content. This helps set expectations about data sensitivity and size. Does not explicitly state read-only or cost implications, but search context implies safety.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no fluff. First sentence states core action, second sentence provides context and alternative tool reference. Front-loaded and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers purpose, return type, and relationship with sibling tool. Lacks mention of ordering or pagination details beyond the limit parameter, but for a metadata search tool, this is mostly sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with detailed parameter descriptions. The tool description adds no additional parameter context beyond what schema already provides. Adequate but not enhanced.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool searches memories by metadata, returning lightweight results without encrypted content. It explicitly distinguishes from the sibling memory.recall, which returns full blobs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Clearly instructs when to use this tool (browsing metadata) and when to use memory.recall (full content). Provides actionable guidance: 'Useful for browsing what you've stored without loading everything.'
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?
With no annotations, the description fully discloses that the service never sees plaintext, stores content as an opaque blob, and tags as plaintext. This covers the key behavioral trait of encryption and searchability.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise (three sentences) and front-loaded with the core action. Every sentence adds valuable context without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the 5 parameters (all described) and no output schema, the description covers the essential context: encryption requirement, tag semantics, and parameter roles. It lacks return value details but that's acceptable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with detailed descriptions for all parameters. The description adds value by reinforcing the encryption workflow and tag purpose, and providing context for importance and memory_type.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The name 'memory.store' and opening sentence 'Store a memory.' clearly state the action. It distinguishes from siblings like memory.recall and memory.search by focusing on storage and adding context about encryption and tags.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly instructs to encrypt content client-side and clarifies that tags are plaintext for searchability. It provides a use-case analogy (email subject lines) but does not explicitly mention when not to use or alternative tools.
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?
No annotations are provided, so the description carries the full burden. It transparently states that the original memory stays intact, annotations add context, and annotations appear alongside the memory upon recall. This gives the agent a good understanding of the tool's side effects. However, it doesn't mention any permissions or limitations beyond the note content.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded, starting with the core action. Every sentence adds value: purpose, constraints, examples, and behavior upon recall. No wasted words, and the structure is logical.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (3 required parameters, no output schema, no nested objects) and no annotations, the description provides sufficient context. It explains the tool's purpose, usage, and constraints completely for an agent to decide when to use it and what to expect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description enhances the 'note' parameter with concrete examples ('I no longer endorse this', 'Superseded by memory X'), adding value beyond the schema's generic description. The other parameters are straightforward and the schema already adequately describes them.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the purpose: 'Add a note to an existing memory.' It uses a specific verb and resource, and distinguishes from siblings by emphasizing that memories cannot be deleted, only annotated. The description also provides concrete use cases ('superseded, incorrect, or no longer endorsed').
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description explicitly states when to use the tool (to add notes for reassessment) and when not to use it (cannot delete memories). It provides context for when annotation is appropriate, though it doesn't mention specific sibling alternatives beyond the delete limitation. Clear usage guidance is present.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations, but description fully discloses behavior: idempotent reconnect, returns salt for key derivation, encryption purpose, and that it creates or returns existing record.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Four sentences, each with purpose; front-loaded with action, no superfluous words; concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given only two parameters, no output schema, and no annotations, the description covers all necessary aspects: purpose, parameters, return behavior, and encryption context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema covers 100% of parameters, and description adds meaningful context on how to derive agent_identifier and the purpose of public_key, enhancing understanding beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool registers or reconnects an agent identity, differentiating it from sibling memory tools that store or recall memories.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'Call this first', providing clear timing guidance, but does not explicitly mention when not to use or alternatives, though context makes it clear.
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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