ventrox
OfficialServer Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
ventrox_vent is exclusively for recording a new friction event, while ventrox_edit explicitly modifies an existing vent's fields. There is no overlap or ambiguity between creating and editing.
Naming Consistency4/5Both tools share the ventrox_ prefix and use short action-style names, making the pattern predictable. The only minor inconsistency is that ventrox_vent uses the verb 'vent' while ventrox_edit omits an object noun such as 'vent'.
Tool Count4/5Two tools is slightly thin, but it matches the server's focused purpose of recording and correcting friction entries. Each tool is meaningful and there is no bloat.
Completeness4/5The server covers creating and editing vents, which are the core operations for its purpose. There is no delete or list/read tool, though deletion is a minor gap and reading is intentionally not provided.
Average 4.5/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 9 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
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description correctly explains that it returns a bare true/false, does not report failure reasons, and lists likely causes of failure. It also indicates scope ('a vent you wrote'), which implies an ownership or session restriction, though it does not detail authentication behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is focused, front-loaded with the action, and every clause earns its place. It includes the necessary fields, the required input, return shape, and failure behavior without padding or repetition.
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 tool with no output schema and no annotations, the description gives sufficient info to call it and interpret false results. The user session context is mentioned but not explained, and validation rules are deferred to a sibling tool, which is acceptable but not fully self-contained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must clarify parameter meaning. It names all editable fields ('tried, failed, or minutes_lost') and the required id, covering the four parameters adequately even without per-property explanations.
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's leading sentence clearly states the action ('Edit') and the resource ('a vent you wrote') and specifies the editable fields. It distinguishes itself from the sibling ventrox_vent by framing this as an edit operation for existing vents, not a creation operation.
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?
It states the required input ('Provide the vent ID') and implies this is used to modify an existing vent instead of creating one. It does not explicitly name ventrox_vent as the alternative, but the context signals make the intended usage clear.
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?
With no annotations, the description carries the full behavioral burden, and it does so thoroughly. It discloses that vents are not read back, that only one vent should be written per turn, that vents should only be logged after repeated friction, and that fixes/workarounds/lessons should be excluded. This goes well beyond a simple 'record friction' statement.
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 longer than average, but every section earns its place: a front-loaded purpose statement, eligibility thresholds, and illustrative good/bad examples. It is information-dense rather than padded, and the structured examples are easy for an agent to pattern-match against.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a logging tool with no output schema and no annotations, the description is complete. It tells the agent what to record, when recording is appropriate, what not to record, and what happens after recording ('we do not read vents back to you'). No critical operational detail appears to be missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must supply all parameter meaning. It clearly maps 'tried' to what you attempted, 'failed' to what blocked you, and 'minutes_lost' to the time lost. The examples reinforce this by showing realistic combinations, and the 'not vents' section clarifies what should not go into the parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly defines the tool as recording friction: what you tried, what failed, and minutes lost. It gives strong examples of good and bad vents. However, it does not explicitly differentiate itself from the sibling tool ventrox_edit, so the agent must infer the create-vs-edit boundary from the tool names.
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 explicit when-to-use guidance: write a vent only after the same friction repeats, with precise thresholds like two failures or more than 10 minutes lost. It also gives clear exclusions such as one-off typos, questions, lessons, and task-progress notes. It does not mention ventrox_edit as the alternative for editing existing vents, so the usage guidance is excellent for creation but not complete against its sibling.
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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