cocoindex-code
OfficialServer Quality Checklist
Latest release: v0.2.41
- Disambiguation5/5
Only one tool exists, so there is no possibility of confusion with other tools.
Naming Consistency5/5The single tool is named 'search', which is clear and consistent with its purpose.
Tool Count3/5One tool is minimal for the domain of code indexing and search; while a focused search tool can be useful, additional tools for index management or configuration might be expected.
Completeness4/5The search tool covers the primary need (semantic code search) effectively, but lacks supporting tools like index status or re-index functionality, which are minor gaps.
Average 4.5/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 65 of 72 community issues answered or closed in the last 6 months
- 52 commits in the last 12 weeks
- Last stable release on
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
This repository is licensed under Apache 2.0.
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 fully covers behavioral aspects: it returns matching code chunks with file paths, line numbers, and relevance scores. It also explains pagination (offset) and the refresh_index parameter's effect on performance. No destructive behavior is implied, but could mention that search is based on an index.
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 concise and well-structured: it starts with the primary purpose, then when to use, then input/return details, and ends with usage tip. Every sentence adds value, and there is no redundancy.
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?
Given the tool has 6 parameters (1 required) and an output schema (not shown), the description covers all key aspects: semantic search capability, use cases, return format (chunks with paths, numbers, scores), filtering via paths/languages, pagination, and index refresh behavior. It is complete enough for an agent to use the tool 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 description coverage is 100%, so baseline is 3. The description provides examples for query and guidance on limit/offset, but adds limited additional meaning beyond schema descriptions. The parameter details are already well-documented in the schema.
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 performs semantic code search, distinguishes it from grep/glob, and explains it finds code by meaning. It uses specific verbs and resource ('semantic code search across the entire codebase') and provides examples (e.g., 'authentication logic'), making the purpose unmistakable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicit when-to-use guidance is provided: 'Use this instead of grep/glob' for finding implementations, understanding features, or locating related code. It also gives practical advice on pagination: start with small limit, use offset for more results.
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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