SQL Server MCP

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation5/5
Every tool has a clearly distinct purpose with no ambiguity. Tools are clearly separated by resource type (tables vs stored procedures) and action type (get specific vs get list vs transaction operations vs query). The query tool stands alone as a general-purpose operation.
Naming Consistency5/5
All tools follow a consistent verb-noun pattern with hyphens. Transaction tools use verb-transaction pattern (start-transaction, commit-transaction, rollback-transaction), get operations use get-noun pattern (get-table, get-tables), and query stands alone as a clear single verb. The naming is perfectly predictable throughout.
Tool Count5/5
8 tools is well-scoped for a database server. Each tool earns its place with clear responsibilities: 4 for data/metadata retrieval, 3 for transaction management, and 1 for general querying. This provides comprehensive coverage without bloat.
Completeness4/5
The toolset covers core database operations well with querying, transaction management, and metadata retrieval. Minor gaps exist in write operations beyond transactions (no explicit insert/update/delete tools) and schema modification (no create/alter/drop tools), but the query tool provides a workaround for most of these operations.
Average 2.9/5 across 8 of 8 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 1 of 1 community issues answered or closed in the last 6 months
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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?
With no annotations provided, the description carries the full burden of behavioral disclosure. 'Commit a transaction' implies a write operation that finalizes changes, but it does not specify effects (e.g., data persistence, atomicity), permissions required, error conditions, or side effects. This is a significant gap for a mutation tool with zero annotation coverage.
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?
The description is a single, efficient sentence with no wasted words, making it appropriately concise. However, it is not front-loaded with critical details (e.g., behavioral traits), which slightly reduces its effectiveness despite the brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a transaction commit (a mutation with potential side effects), no annotations, and no output schema, the description is incomplete. It fails to explain return values, error handling, or interactions with sibling tools, leaving the agent under-informed for safe and correct usage.
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?
The input schema has 100% description coverage, with the 'transactionId' parameter clearly documented. The description does not add any meaning beyond the schema (e.g., format examples or constraints), so it meets the baseline of 3 where the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Commit a transaction' states the action (commit) and resource (transaction), which provides a basic understanding of the tool's purpose. However, it lacks specificity about what committing entails (e.g., finalizing database changes) and does not differentiate it from sibling tools like 'rollback-transaction' or 'start-transaction', making it vague in context.
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?
The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., needing an active transaction from 'start-transaction'), exclusions, or comparisons to siblings like 'rollback-transaction' for undoing changes, leaving the agent without usage context.
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. It states the action ('Get') but doesn't describe whether this is a read-only operation, what permissions are required, how errors are handled (e.g., if the procedure doesn't exist), or the format of the returned data. This leaves significant gaps for an agent to understand the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without any redundant information. It is front-loaded and appropriately sized for a simple retrieval tool, with every word contributing to clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations and output schema, the description is incomplete for a tool that retrieves database objects. It doesn't explain what information is returned (e.g., procedure definition, metadata), error conditions, or dependencies on other tools like 'start-transaction'. For a tool with no structured behavioral data, this leaves the agent under-informed.
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?
The input schema has 100% description coverage, with the parameter 'procedureName' clearly documented. The description adds minimal value beyond the schema by implying the parameter is used to identify a specific stored procedure, but it doesn't provide additional context like naming conventions or examples. This meets the baseline for high schema coverage.
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?
The description clearly states the verb ('Get') and resource ('a specific stored procedure by name'), making the purpose unambiguous. It distinguishes this from the sibling 'get-stored-procedures' (plural) by specifying retrieval of a single procedure. However, it doesn't fully differentiate from 'get-table' or 'query' in terms of resource type specificity.
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?
The description provides no guidance on when to use this tool versus alternatives like 'get-stored-procedures' (for listing all procedures) or 'query' (for executing SQL). It lacks context about prerequisites, such as needing an existing stored procedure name, or exclusions for when other tools might be more appropriate.
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 are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves a table but doesn't mention whether it's a read-only operation, what happens if the table doesn't exist (e.g., error handling), or the format of the returned data. This leaves significant gaps in understanding the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It is front-loaded and directly conveys the core purpose without unnecessary details, making it highly concise and well-structured for its simplicity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'Get' entails (e.g., returns metadata, schema, or data), error conditions, or how it fits with sibling tools like transactions. For a tool with no structured behavioral data, more context is needed to guide effective use.
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?
The input schema has 100% description coverage, with the parameter 'tableName' documented as 'The name of the table to retrieve'. The description adds no additional meaning beyond this, as it only repeats the concept of retrieving by name without specifying syntax, constraints, or examples. Baseline 3 is appropriate since the schema does the heavy lifting.
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?
The description clearly states the action ('Get') and resource ('a specific table by name'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools like 'get-tables' (plural) or 'query', but the specificity of retrieving a single table by name is reasonably clear.
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?
The description provides no guidance on when to use this tool versus alternatives like 'get-tables' (for listing tables) or 'query' (for querying table data). It lacks context about prerequisites, such as needing an existing table name, or exclusions, leaving the agent to infer usage from the tool name alone.
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 are provided, so the description carries full burden. It states 'Query the database' but doesn't disclose critical behavioral traits: whether it's read-only or can modify data, authentication requirements, error handling, result format, or performance implications. For a database tool with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves.
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?
The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core purpose and appropriately sized for a simple tool with one parameter. Every word earns its place by conveying essential information about the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of database operations and lack of annotations/output schema, the description is incomplete. It doesn't address whether queries are read-only or can modify data, what happens with invalid SQL, how results are returned, or security considerations. For a tool that could potentially alter data or expose sensitive information, this minimal description is insufficient.
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%, with the single parameter 'query' documented as 'The SQL query to execute'. The description adds no additional meaning beyond what the schema provides—it merely restates that execution involves a SQL statement. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't enhance parameter understanding.
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?
The description clearly states the action ('Query') and resource ('the database') with the method ('with a SQL statement'). It distinguishes from siblings like transaction tools by focusing on query execution rather than transaction management or metadata retrieval. However, it doesn't explicitly differentiate from 'get-stored-procedure' which might also involve query-like operations.
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?
The description provides no guidance on when to use this tool versus alternatives like 'get-table' for metadata or transaction tools for write operations. It mentions SQL execution but doesn't specify if it's for read-only queries, data manipulation, or both, leaving the agent to infer usage context from the tool name alone.
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, the description carries full burden but only states the action without behavioral details. It doesn't disclose effects (e.g., data changes undone, transaction closure), permissions needed, error conditions, or side effects, which is inadequate for a mutation tool.
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?
The description is a single, direct sentence with no wasted words, making it highly concise and front-loaded. It efficiently communicates the core action without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given this is a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavior, effects, or return values, failing to compensate for the missing structured data, which is insufficient for safe use.
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?
Schema coverage is 100% with one parameter ('transactionId') well-documented in the schema. The description adds no parameter details beyond the schema, but with high coverage and zero parameters needing compensation, the baseline is 4 as it doesn't detract from understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Rollback a transaction' states the action (rollback) and resource (transaction), providing a basic purpose. However, it lacks specificity about what rolling back entails (e.g., undoing changes, reverting state) and doesn't distinguish from siblings like 'commit-transaction' or 'start-transaction', making it vague in context.
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?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an active transaction), exclusions, or how it relates to siblings like 'commit-transaction' or 'start-transaction', leaving usage unclear.
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. It states the tool starts a transaction but doesn't explain what that entails—e.g., whether it locks resources, requires specific permissions, has side effects, or returns a transaction ID. This is a significant gap for a tool that likely involves state changes.
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?
The description 'Start a new transaction' is extremely concise and front-loaded, with no wasted words. It directly states the tool's purpose in a single, clear phrase, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of transaction management and the lack of annotations or output schema, the description is incomplete. It doesn't explain what a transaction is in this system, how it interacts with siblings like 'commit-transaction', or what the expected behavior or return value is. This leaves critical gaps for proper tool invocation.
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?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here. A baseline of 4 is applied since there are no parameters to document, and the description doesn't introduce confusion.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Start a new transaction' clearly states the action (start) and resource (transaction), but it's somewhat vague about what a 'transaction' entails in this context and doesn't differentiate from siblings like 'commit-transaction' or 'rollback-transaction'. It's adequate but lacks specificity about the transaction's scope or purpose.
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?
No guidance is provided on when to use this tool versus alternatives like 'commit-transaction' or 'rollback-transaction'. The description implies it initiates a transaction but doesn't specify prerequisites, when it's appropriate, or what operations should follow. This leaves the agent without context for decision-making.
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 are provided, so the description carries the full burden of behavioral disclosure. It states it 'gets a list' but doesn't specify if this is a read-only operation, what permissions are required, if it's paginated or returns all at once, or any rate limits. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose with no wasted words. It directly communicates what the tool does without unnecessary elaboration, making it easy to parse quickly.
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 tool has 0 parameters, no annotations, and no output schema, the description is minimally adequate. It states the action and resource but lacks details on behavior, output format, or integration with siblings. For a simple list operation, this might suffice, but it doesn't provide enough context for optimal agent use without additional inference.
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?
The tool has 0 parameters, and schema description coverage is 100% (though trivial since there are no parameters). The description doesn't need to add parameter details, and it correctly implies no inputs are required. Baseline for 0 parameters is 4, as there's nothing to compensate for.
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?
The description clearly states the action ('Get a list') and resource ('all stored procedures in the database'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'get-stored-procedure' (singular) or 'get-table'/'get-tables', but the scope is specific enough to infer it returns multiple procedures rather than details of one.
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?
The description provides no guidance on when to use this tool versus alternatives. For example, it doesn't clarify if this is for metadata exploration, how it relates to 'get-stored-procedure' (singular), or if it should be used before querying. Without such context, the agent must infer usage from tool names alone.
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. It states this is a read operation ('Get'), implying it's likely safe and non-destructive, but doesn't specify permissions needed, rate limits, pagination behavior, or what the returned list includes (e.g., table names, metadata). This leaves significant gaps for a tool with zero annotation coverage.
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?
The description is a single, clear sentence that efficiently conveys the core purpose without any wasted words. It's front-loaded and appropriately sized for a simple tool, earning full marks for conciseness and structure.
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 tool's low complexity (0 parameters, no output schema) and the description's clear purpose, it's minimally adequate. However, with no annotations and no output schema, it lacks details on behavioral traits (e.g., permissions, return format) that would help an agent use it correctly, making it incomplete for optimal agent guidance.
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?
The input schema has 0 parameters with 100% description coverage, so the schema fully documents the lack of inputs. The description implicitly confirms this by not mentioning any parameters, adding no extra semantic detail but aligning with the schema. A baseline of 4 is appropriate for zero-parameter tools where the schema already covers everything.
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?
The description clearly states the verb ('Get') and resource ('list of all tables in the database'), making the purpose immediately understandable. However, it doesn't explicitly distinguish this tool from its sibling 'get-table', which retrieves a single table, so it misses the highest score for sibling differentiation.
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?
The description provides no guidance on when to use this tool versus alternatives like 'get-table' (for a single table) or 'query' (for executing SQL queries). It lacks explicit context, prerequisites, or exclusions, leaving the agent to infer usage from the purpose alone.
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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