chainlist-mcp
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The two tools have clearly distinct purposes: getChainById retrieves a specific chain by numeric ID, while getChainsByKeyword searches for chains by textual keyword with partial matching. There is no overlap in functionality or confusion about when to use each tool.
Naming Consistency5/5Both tools follow a consistent verb_noun pattern with 'get' as the verb and descriptive noun phrases (ChainById, ChainsByKeyword). They use consistent camelCase naming throughout, making them predictable and easy to understand.
Tool Count3/5With only two tools, the server feels minimal for a blockchain information service. While the tools cover basic lookup functionality, the scope seems thin compared to what might be expected for comprehensive chain data access (e.g., missing tools for listing all chains, filtering by other attributes, or getting trending/popular chains).
Completeness3/5The tools provide core lookup capabilities by ID and keyword search, but there are notable gaps. Missing operations include listing all available chains, filtering by attributes like TVL or currency, and accessing additional chain metadata beyond the basic details provided. This limits the server's usefulness for broader blockchain exploration tasks.
Average 4.7/5 across 2 of 2 tools scored.
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
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
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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 provided, the description carries full burden and does well by disclosing key behaviors: case-insensitive partial matching, Markdown return format, default limit value, and error handling for no matches. It doesn't mention rate limits, authentication needs, or pagination, but covers essential operational traits adequately.
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 appropriately sized and front-loaded with the core purpose in the first sentence. The parameter and return sections are well-structured with bullet points, and every sentence adds value without redundancy.
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 no annotations, no output schema, and 0% schema coverage, the description provides good completeness: it explains purpose, parameters, return format, and error cases. However, it doesn't detail the exact structure of the Markdown output (e.g., field order or formatting specifics), leaving minor gaps.
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 fully compensate. It provides detailed semantics for both parameters: 'keyword' is explained with examples and matching behavior, and 'limit' specifies optionality, default value, and purpose. This adds substantial meaning beyond the bare 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's purpose with a specific verb ('Retrieve information about blockchains') and resource ('blockchains matching a keyword'), distinguishing it from the sibling tool 'getChainById' which presumably retrieves by ID rather than keyword. It specifies case-insensitive partial matching and Markdown formatting.
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 context for when to use this tool (searching by keyword/partial name) and implies usage vs. 'getChainById' (keyword vs. ID). However, it doesn't explicitly state when NOT to use it or name alternatives beyond the sibling tool, missing explicit 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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes the tool's behavior: it retrieves information, returns Markdown-formatted details or an error message if not found, and lists the specific details included (Name, Chain ID, etc.). However, it doesn't mention potential rate limits, authentication needs, or performance characteristics.
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 well-structured and front-loaded with the core purpose, followed by clearly labeled sections for parameters and returns. Every sentence adds value, with no redundant or unnecessary information, making it efficient and easy to parse.
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's low complexity (single parameter, no output schema, no annotations), the description is complete. It explains what the tool does, when to use it, parameter details, return format, and error handling. No additional information is needed for effective use.
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?
The schema description coverage is 0%, so the description must fully compensate. It provides comprehensive parameter semantics: it names the parameter ('chain_id'), specifies its type ('integer'), gives a clear example ('1 for Ethereum Mainnet'), and explains its purpose ('unique identifier of the blockchain'). This adds significant value beyond the bare 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 specific action ('Retrieve information about a blockchain') and resource ('by its chain ID'), distinguishing it from the sibling tool 'getChainsByKeyword' which searches by keyword rather than ID. The purpose is unambiguous and well-defined.
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?
The description explicitly states when to use this tool ('by its chain ID') and implies an alternative with the sibling tool name 'getChainsByKeyword', suggesting that tool should be used for keyword-based searches. This provides clear guidance on tool selection.
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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