read_query
Run SELECT queries on Snowflake to retrieve data directly from your database.
Instructions
Execute a SELECT query on Snowflake
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The SELECT query to execute |
Run SELECT queries on Snowflake to retrieve data directly from your database.
Execute a SELECT query on Snowflake
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The SELECT query to execute |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries the burden. It only states the basic action, omitting details like read-only nature, potential for large results, permission requirements, or 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence with no extraneous words, achieving perfect conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description is minimally complete but lacks details on return format, read-only confirmation, or performance expectations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a parameter description. The tool description does not add meaning beyond what the schema already provides, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it executes a SELECT query on Snowflake, identifying the verb and resource. However, it does not explicitly indicate it is read-only or what it returns, which could be improved.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus sibling tools like describe_table or list_tables. The purpose is implied but not differentiated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/patrickfreyer/mcp-server-snowflake'
If you have feedback or need assistance with the MCP directory API, please join our Discord server