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faressoft

snowflake-mcp

by faressoft

get_table_row_count

Count rows in a specified Snowflake table, with optional database and schema. Use to assess table size for exploration or validation.

Instructions

Get the total number of rows in a table

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYesTable name (can include database.schema.table)
Behavior3/5

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

With no annotations, the description must disclose behavioral traits, but it only states the operation without caveats. It does not mention performance implications, exactness, or error handling, though it clearly indicates a read-only fetch of a count.

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 concise sentence, front-loaded with the action and target. There is no wasted verbiage.

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?

For a simple one-parameter read tool, the description is nearly sufficient: it names the operation and parameter. However, the lack of return-type details and usage alternatives leaves minor gaps for an agent.

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 already provides full coverage for the single 'table' parameter, including its format. The description adds no further parameter semantics, so it is at the baseline score.

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 ('Get') and resource ('total number of rows in a table'), clearly distinguishing it from sibling tools that list tables, describe schemas, or sample data. It unambiguously conveys the tool's function.

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. The description simply restates the function without indicating e.g. that get_table_sample should be used for row previews or describe_table for schema details.

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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