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search_objects

Read-onlyIdempotent

Find database objects by name pattern across all schemas. Use SQL LIKE patterns and optional filters for type and database to locate tables, views, procedures, or functions.

Instructions

Search for database objects by name pattern across all schemas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternYesSQL LIKE pattern, for example '%User%' or 'Order%'.
object_typeNoOptional filter: table, view, procedure, or function.
database_nameNoOptional database name. Defaults to AZURE_SQL_DEFAULT_DATABASE.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, covering the safety profile. The description adds 'across all schemas' as useful scope context beyond annotations, but does not mention return format or potential limits (though output schema may cover those).

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 sentence that is front-loaded and contains zero fluff. It communicates the essential purpose and scope efficiently.

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?

Given the tool's simplicity, the presence of an output schema, and strong annotations, the description is adequate. It could more explicitly mention SQL LIKE patterns or parameter filtering, but those are already documented in the schema. The 'across all schemas' scope is a useful contextual addition.

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 schema provides descriptions for all three parameters (pattern, object_type, database_name), covering 100% of the semantic load. The description itself does not add any parameter-level details, so baseline 3 is appropriate.

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 clearly states the tool searches for database objects by name pattern across all schemas. The verb 'search' and resource 'database objects' are specific, and the 'across all schemas' scope distinguishes it from sibling tools like get_object_details or list_objects.

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?

The description implies usage when finding objects by name pattern, but it does not explicitly state when to use this tool versus alternatives like list_objects or get_object_details. It lacks explicit exclusions or alternative recommendations.

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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