Skip to main content
Glama

get_queries_not_selective

Read-only

Identify queries with low selectivity from completed requests to optimize database performance. Pinpoint and analyze non-selective queries for tuning.

Instructions

Get queries that are not very selective from the system:completed_requests catalog.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of queries to return (default: 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description adds minimal behavioral context beyond the readOnlyHint annotation. It does not disclose any specifics about permissions, potential performance impact, or the meaning of 'not very selective'. With annotations covering safety, a score of 3 is appropriate.

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 front-loaded sentence with no wasted words. It efficiently conveys the tool's purpose.

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 low complexity (one optional parameter, output schema present), the description is mostly complete. However, it could briefly clarify what 'not very selective' implies for query results, though the name and context suffice.

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% coverage for its single parameter (limit), so the description does not need to add param details. It does not provide additional meaning beyond the schema, hence baseline 3.

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 tool retrieves 'queries that are not very selective' from a specific catalog, using a specific verb and resource. However, it does not explicitly differentiate from sibling tools like 'get_queries_using_primary_index', though the name is self-explanatory.

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. There is no mention of prerequisites, when not to use it, or context for its selection among similar query-related tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Couchbase-Ecosystem/mcp-server-couchbase'

If you have feedback or need assistance with the MCP directory API, please join our Discord server