agents-chat-mcp
Server Quality Checklist
Latest release: v0.1.1
- Disambiguation3/5
The register, send, and watch tools have clear distinct purposes. However, agent_chat_helper is a vague 'multi-purpose' tool with no specific scope, potentially overlapping with the others.
Naming Consistency5/5All tools follow a consistent 'agent_chat_<verb>' pattern (except 'helper' which is a noun, but it still adheres to the prefix and is understandable).
Tool Count5/5Four tools is appropriate for a basic chat agent server, covering registration, sending, and watching for messages without unnecessary bloat.
Completeness3/5The core messaging workflow is covered, but missing obvious operations like unregistering, listing agents, or leaving the chat room, which may hinder agent workflow.
Average 3/5 across 4 of 4 tools scored. Lowest: 2.3/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues 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
This repository is licensed under MIT License.
This repository includes a README.md file.
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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 are absent, placing full burden on the description. The description only says 'Multi-purpose helper tool for various operations,' which discloses no behavioral traits (e.g., side effects, auth needs, rate limits). The action list provides some context but the description itself is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise (one sentence), but conciseness comes at the cost of informativeness. It is front-loaded but lacks substance. It meets minimal structure requirements.
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?
Given the tool's complexity (4 parameters, 6 actions) and absence of output schema, the description is incomplete. It does not explain what each action returns, how to use them, or any constraints. More detail is needed for an agent to use it effectively.
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 parameter descriptions. The tool description does not add meaning beyond the schema, but with high coverage, baseline 3 is appropriate. The description could clarify parameter relationships but does not.
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 is vague: 'Multi-purpose helper tool for various operations.' It does not specify the core function or distinguish from sibling tools like agent_chat_register or agent_chat_send. The action enum hints at capabilities, but the description itself lacks specificity.
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 prerequisites, context, or when to choose another tool. The description is generic and does not help the agent decide to invoke this tool.
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?
Without annotations, the description carries full burden. It only states 'Register as an agent' without explaining side effects, idempotency, or what happens upon registration. The lack of details on the registration process limits transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that effectively front-loads the core purpose. It wastes no words, though it might benefit from slightly more detail without becoming verbose.
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?
Given the simple schema and no output schema, the description lacks sufficient context. It does not explain what 'register' means in the chat room context, such as whether it creates a user session or requires prior setup. The presence of sibling tools suggests a broader chat system, but the description leaves integration assumptions unclear.
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 description coverage is 100% with clear parameter descriptions ('Agent name.', 'Room name.'). The tool description adds no additional semantic meaning beyond what the schema provides, resulting in a baseline score of 3.
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 verb 'Register' and resource 'agent in the chat room' clearly indicate the tool's function. It distinguishes from siblings (helper, send, watch) by specifying registration. However, it could be more explicit about whether registration creates a new agent or joins an existing chat.
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 like agent_chat_helper or agent_chat_send. The description does not mention prerequisites, such as whether the room must already exist, nor does it indicate if registration is required before using other tools.
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 discloses the wake behavior but fails to mention important traits like whether the tool is idempotent, what side effects occur, or any required permissions. The description is minimal and leaves much to inference.
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 extremely concise: two sentences, front-loaded with the primary action and a crucial condition. Every word earns its place with no unnecessary information.
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 100% schema coverage, the description fails to explain the status parameter's role or any return behavior. With no output schema and no annotations, the description leaves the agent with insufficient context to use the tool effectively beyond the most basic send action.
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%, so baseline is 3. The description adds no new meaning beyond the schema's parameter descriptions; it repeats the wake condition already stated in the schema's text parameter description.
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 'Send a chat message', which is a specific verb+resource. However, it does not differentiate from sibling tools like agent_chat_helper or agent_chat_register, which could have overlapping functionality.
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 provides a condition for waking agents ('text must include @username or @all'), giving some usage context. But it lacks explicit guidance on when not to use this tool or alternatives like agent_chat_watch.
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?
Without annotations, the description must convey behavioral traits. It states it blocks and has a default wait time, but does not disclose error handling, cancellation, or return behavior, which is insufficient for a blocking tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short, efficient sentences with no wasted words.
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 (1 param, no output schema), the description covers the primary purpose but omits important context like return value or blocking semantics, making it adequate but incomplete.
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%, and the description adds no meaning beyond the schema (timeout_ms with default). Baseline 3 applies as description does not compensate for missing schema details.
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 blocks and waits for a new @username or @all message, with a specific verb and resource. It distinguishes itself from siblings (helper, register, send) by its waiting behavior.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for waiting on mentions but lacks explicit when-to-use or when-not-to-use guidance. No alternatives are mentioned, leaving the agent to infer 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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