chainlink-sentinel

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation4/5
Most tools have distinct purposes, but sentinel_chain and sentinel_scan could cause confusion as both involve scanning across chains. sentinel_chain scans all feeds on a specific chain, while sentinel_scan does a full cross-chain scan across multiple chains, but the naming overlap may lead to misselection without careful reading of descriptions.
Naming Consistency5/5
All tools follow a consistent 'sentinel_' prefix with descriptive suffixes, using snake_case uniformly. The naming pattern is predictable and clear, making it easy for agents to understand the tool set's structure and purpose.
Tool Count5/5
With 6 tools, this server is well-scoped for monitoring Chainlink oracles and stablecoins. Each tool serves a specific function in the domain, from single-feed reads to cross-chain analysis, without being overly sparse or bloated.
Completeness4/5
The tool set covers key aspects of Chainlink oracle monitoring, including single feeds, cross-chain comparisons, risk reporting, and stablecoin tracking. A minor gap exists in lacking tools for historical data analysis or alert configuration, but core monitoring workflows are well-supported.
Average 3.4/5 across 6 of 6 tools scored.
See the Tool Scores section below for per-tool breakdowns.
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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 provided. While 'Read' implies a safe, non-destructive operation, the description fails to disclose what data is returned (price, timestamp, decimals, roundId), network latency considerations, or error behavior when feeds don't exist.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence is front-loaded with the action verb. While efficient, it may be overly terse given the absence of annotations and output schema—lacks structural elements like 'Returns...' or 'Use when...' that would help agent selection.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequate for the simple 2-parameter input schema, but incomplete given no output schema exists. For a data retrieval tool, the description should specify what constitutes a Chainlink price feed response (current price, updatedAt, answeredInRound) to set agent expectations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with clear descriptions for both 'chain' and 'pair' parameters. The description provides a combined usage example (BTC/USD on ethereum) that illustrates the relationship between parameters, but adds minimal semantic value beyond what the schema already documents.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
States specific verb ('Read') and resource ('Chainlink price feed'), with 'single' distinguishing it from sibling comparison/scan tools. However, lacks explicit differentiation from sentinel_chain or sentinel_stablecoins.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Contains only an inline example (BTC/USD on ethereum) with no explicit guidance on when to use this versus siblings like sentinel_compare or sentinel_scan. No prerequisites or error conditions mentioned.
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?
With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Scan' implies a read operation, the description fails to specify what the scan checks for (stale prices? deviations? updates?), whether it returns raw data or analysis, or any rate limiting concerns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence of nine words with clear subject-verb-object structure. No redundant phrases or unnecessary elaboration. Front-loaded with the action and target resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple input schema (single enum parameter) and lack of output schema, the description covers the basic operation but remains incomplete regarding the scan's output format, return structure, or what specific conditions it checks for on the price feeds.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% (the 'chain' parameter includes description and enum values). The description implies the chain parameter scopes the scan but adds no additional semantic detail, syntax constraints, or usage examples beyond the schema itself.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
Provides specific verb ('Scan'), resource ('Chainlink price feeds'), and scope ('on a specific chain'). However, it does not explicitly differentiate from sibling tools like sentinel_scan or sentinel_feed, leaving ambiguity about when to prefer this over tools with similar names.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Contains no guidance on when to use this tool versus alternatives (e.g., sentinel_feed for specific feeds or sentinel_scan for generic scanning). No prerequisites or conditions mentioned.
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 provided, so description carries full burden. Mentions 'cross-chain' scope but fails to disclose critical behavioral traits: whether this is expensive/computationally heavy, synchronous vs async, cached vs real-time computation, or if it requires prior data collection. 'AI risk' is vague regarding whether it analyzes AI models or uses AI to analyze risk.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Single efficient sentence (12 words) with front-loaded action verb. Zero redundancy or filler. Each phrase adds specific value ('comprehensive', 'cross-chain', 'anomaly analysis') without waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex analytical tool implied by 'AI' and 'cross-chain', the description is minimally adequate given zero parameters and no output schema. However, lacks detail on return format, data freshness, or what 'AI risk' specifically encompasses in this domain. Adequate but with clear gaps for a sophisticated reporting tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Zero parameters present, meeting the baseline score of 4 per rubric. Schema is empty object with 100% coverage trivially satisfied. No parameters require semantic clarification beyond what the schema provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clear specific verb ('Generate') and resource ('AI risk report') with detailed components listed (cross-chain health, anomaly analysis, recommendations). Distinguishes from siblings like sentinel_scan or sentinel_chain by emphasizing comprehensive reporting and AI-specific risk analysis, though could explicitly contrast with alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides no guidance on when to use this tool versus siblings like sentinel_scan or sentinel_chain, nor any prerequisites (e.g., whether specific chains must be monitored first). Purely descriptive of functionality without contextual selection criteria.
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?
With no annotations provided, the description carries full burden. It discloses scope ('across all chains') and detection targets ('depegs and deviations'), but omits whether this triggers alerts, requires subscriptions, returns current state vs historical data, or has side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two efficient sentences with zero waste. First sentence establishes scope and coverage, second specifies detection behavior. Well front-loaded and appropriately sized.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, and the description omits what the monitoring returns (current prices? deviation percentages? alerts?). For a zero-parameter monitoring tool, the description suffices for selection but leaves operational gaps regarding return values.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Zero parameters present, establishing baseline 4. The description implicitly confirms no filtering parameters are needed (covers 'all chains'), matching the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clear specific verb ('Monitor') and resource ('stablecoin pegs USDC/USDT/DAI across all chains'). However, it does not explicitly differentiate from sibling tools like sentinel_scan or sentinel_chain despite their similar naming patterns, leaving potential ambiguity about overlap.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the specificity of the resource (stablecoins vs general monitoring), but there is no explicit guidance on when to prefer this over sentinel_scan, sentinel_compare, or other siblings, nor any prerequisites stated.
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?
No annotations provided, so description carries full disclosure burden. It adds valuable context about multi-chain scope and deviation detection purpose, but omits safety properties (read-only vs destructive), rate limits, or return value structure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Single compact sentence with zero waste. Front-loaded with action verb, immediately communicates resource type, scope ('across all available chains'), and specific value proposition ('detect cross-chain deviations').
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequate for a single-parameter tool with complete schema coverage, but lacks output format specification. Mentions 'deviations' implying analytical output, but without output schema or annotations describing return structure, completeness is limited.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 100% coverage with clear description and examples for the 'pair' parameter. Description mentions 'price pair' but doesn't add syntax details, validation rules, or format constraints beyond what the schema already provides. Appropriate baseline score for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description provides specific verb 'Compare', resource 'price pair', and distinctive scope 'across all available chains'. The deviation detection purpose clearly distinguishes it from siblings like sentinel_scan or sentinel_chain which likely perform different functions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implies usage scenario (detecting cross-chain deviations) but lacks explicit when-to-use guidance, prerequisites, or comparisons to alternatives like sentinel_feed which might provide raw price data instead of deviation analysis.
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?
With no annotations provided, description carries full disclosure burden. It adequately discloses return values (feed prices, staleness, anomalies) and geographic scope (6+ chains), but omits operational traits like execution duration, rate limits, authentication requirements, or whether results are cached vs real-time.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two tightly constructed sentences with zero waste. First sentence establishes action and scope; second discloses return values. Information density is high with no filler words or redundant phrasing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Compensates well for missing output schema by detailing return data types (prices, staleness flags, anomalies). However, lacks specifics on the '6+' chain identities, response format structure, or pagination behavior for what is likely a large data set.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Zero parameters present, establishing baseline score of 4. Description correctly implies no configuration needed for the cross-chain scope, though it could explicitly confirm 'no parameters required' for absolute clarity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description uses specific verb 'scan' with clear resource 'Chainlink oracle' and scope 'across 6+ EVM chains'. The term 'full cross-chain' effectively distinguishes this from siblings like sentinel_chain (likely single chain) and sentinel_feed (likely specific feed).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides implied usage through 'full' suggesting comprehensive analysis, but lacks explicit guidance on when to use vs alternatives like sentinel_feed for targeted checks or sentinel_compare for differential analysis. No exclusion criteria or prerequisites mentioned.
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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