CollabMCP
Server Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
Each tool has a clearly distinct purpose: broadcast for messaging, get_session for context snapshot, recall for reading past decisions, remember for writing decisions, who_owns for ownership queries. No overlap.
Naming Consistency3/5Naming is mixed: 'broadcast', 'recall', 'remember' are single verbs; 'get_session' is verb_noun; 'who_owns' is a question. No consistent pattern, though all are readable.
Tool Count5/5With 5 tools covering communication, session management, knowledge base, and ownership, the count is well-scoped for a team collaboration server.
Completeness4/5Covers key collaboration features (messaging, context, decisions, ownership). Minor gap: no explicit lock acquisition/release tool, but get_session and who_owns may suffice.
Average 4/5 across 5 of 5 tools scored. Lowest: 3.3/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 5 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.
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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 are provided, so the description carries full burden. It states 'search' implying a read-only operation, but offers no details about return format, limits, or potential side effects. Behavioral traits are minimally disclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence (16 words) that front-loads the purpose. Every word is necessary; no fluff or redundancy.
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 simplicity (1 param, no output schema, no annotations), the description is adequate but not complete. It would benefit from indicating what the tool returns or how it differs from 'remember'. Lacks supplementary detail that annotations could provide.
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 'query' with a generic description. The tool description adds 'prior team decisions' context, but this is marginal. With high schema coverage, baseline 3 is appropriate.
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 uses specific verb 'search' and resource 'prior team decisions', clearly indicating the tool's purpose. It adds context about when to use it ('before making an important choice') but does not explicitly differentiate from the sibling 'remember', which may 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 implies usage context ('before making an important choice') but provides no explicit guidance on when not to use this tool or alternatives among siblings. No exclusions or comparisons are made.
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 implies a write operation that sends to all active teammates. It lacks details on whether there are restrictions (e.g., permission requirements, rate limits) or what happens if no teammates are active. With no annotations, more behavioral context would be helpful.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is front-loaded with the core purpose and includes examples. 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?
Given the tool has only two parameters and no output schema or annotations, the description covers the main purpose and provides useful context for the message. It could briefly mention the urgency parameter's impact or recipient behavior, but overall is fairly 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 description coverage is 50% (only 'message' has a description; 'urgency' does not). The description adds context for the message parameter via examples but does not explain the urgency parameter or its enum values beyond what the schema provides. It partially compensates but not fully.
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 (send), the resource (message to every active teammate), and provides concrete examples of use cases (breaking changes, interface changes, coordination requests). This distinguishes it from sibling tools like get_session or recall.
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 gives clear context by listing appropriate use cases (breaking changes, interface changes, coordination requests). However, it does not explicitly state when not to use it or mention alternatives, though sibling tools are unrelated.
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 it returns the owner and whether the user can proceed, which are behavioral traits. However, it lacks details such as what happens if the path does not exist, whether it performs any side effects, or any authentication requirements. With no annotations, the description carries full burden and is somewhat minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that front-loads the purpose and outcome. Every word adds value, with no redundancy or unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only tool with one parameter and no output schema, the description covers the essential purpose and return values. It could mention edge cases like non-existent paths, but overall it is sufficiently complete for an agent to understand when and how to use it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has one parameter 'path' with 100% description coverage, including an example. The tool description does not add extra parameter information beyond what the schema already provides, so it meets the baseline but does not enhance understanding.
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 explicitly states the tool's purpose: checking if a path belongs to another dev's scope before editing. The verb 'check' and resource 'ownership' are specific, and the tool is clearly distinct from sibling tools like 'broadcast' or 'remember'.
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 provides clear usage guidance: use this tool before editing a file or directory. It implies when to use it, but does not explicitly state when not to use it or mention alternatives. Given the simple context, this is adequate.
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 two key behaviors: it is append-only and shared with the team. This gives agents a good understanding of side effects. Could be improved by noting it is persistent and irreversible, but the info provided is 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?
Two concise sentences that front-load purpose and include behavioral constraints. No unnecessary words or repetition. Every sentence adds value.
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 tool's simplicity (3 params, no output schema), the description covers the essential purpose and behavior. It could mention that tags are optional (implied by schema) or that content is natural language, but overall it's adequate for the agent to use correctly.
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. Description does not add any additional parameter meaning beyond the schema definitions. No elaboration on approved values, formatting, or relationships between params.
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?
Description clearly states the tool records architectural decisions, bug fixes, or team knowledge. It uses specific verb 'record' and resource 'decision', and distinguishes from siblings like broadcast or recall by specifying it's for persistent, append-only knowledge sharing.
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?
Provides clear context on when to use (recording decisions/knowledge) but does not explicitly list alternatives or when not to use. However, the examples and 'append-only shared' imply it's for permanent recording, not transient communication.
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?
Describes the snapshot's contents in detail, implying a read-only operation with no side effects. However, it does not explicitly state it is non-destructive or mention authorization requirements, which would improve transparency given no annotations.
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, zero wasted words. The first defines the tool's output, the second advises when to use it. Perfectly front-loaded and succinct.
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?
Provides sufficient detail about what the snapshot includes and when to call it. Given no output schema, it covers the return value well. Could mention if it requires authentication or if it returns only current data, but it remains complete for the tool's purpose.
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?
No parameters exist in the schema, so the description naturally cannot add parameter details. With 100% schema coverage and zero params, a baseline of 4 is appropriate.
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 defines the tool as a snapshot of team shared context, listing specific components (scope, active users, decisions, locks, inbox messages). It distinguishes from siblings like broadcast or recall which handle messaging or storing information.
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 advises 'Call this at the start of every session,' providing clear usage context. Lacks exclusion criteria or alternative suggestions but adequately guides when to use.
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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- Evaluate tool definition quality.
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