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capture_schema_snapshot

Read-only

Capture a point-in-time schema snapshot for an Azure SQL database, optionally filtering to specific schemas, to preserve schema state for auditing, comparison, or rollback.

Instructions

Capture a point-in-time schema snapshot for a database.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_nameNoOptional database name. Defaults to AZURE_SQL_DEFAULT_DATABASE.
schema_filterNoComma-separated schema names to capture. Defaults to all user schemas.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds 'point-in-time' but doesn't explain whether the snapshot is stored, returned, or purely transient. It doesn't contradict annotations, but also doesn't add significant behavioral detail beyond them.

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, well-constructed sentence with no redundancy or irrelevant information. It front-loads the action and resource effectively.

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 rich annotations and full parameter documentation, the description is adequate but minimal. It leaves open the exact nature of the snapshot (return vs. persistence) and doesn't tie into its workflow context relative to sibling tools like compare_schemas. The presence of an output schema likely covers return details, but the description alone is sparse.

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 both parameters (database_name and schema_filter) already documented. The description adds no extra parameter context, so it neither enhances nor detracts from the schema's 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?

The description uses a specific verb ('Capture') and a clear resource ('schema snapshot for a database'), with the qualifier 'point-in-time' adding precision. This distinguishes it from sibling tools like list_schemas or compare_schemas, making the tool's purpose immediately 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. There is no mention of alternatives, prerequisites, or typical scenarios, leaving the agent to infer usage context from the name and sibling list.

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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