Skip to main content
Glama

queries_schema

List available datasets, dimensions, measures, and QuerySpec filters to reveal the data structure. Identify queryable fields before running analytics queries.

Instructions

Lista datasets, dimensiones, medidas y filtros QuerySpec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNo
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only mentions 'lists' without stating it is a read-only operation, any authentication requirements, or what the response contains. The minimal wording provides no added behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with no filler. It is appropriately concise, though its brevity leaves out critical details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations, output schema, and parameter explanation, the description is insufficient for an agent to reliably call the tool. It fails to clarify what 'QuerySpec' refers to, what the return format is, or how the 'fields' parameter influences results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter 'fields' has zero schema description coverage, and the tool description does not explain its purpose or possible values. An agent has no way to understand how to use or format this parameter.

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 lists datasets, dimensions, measures, and QuerySpec filters, identifying a specific verb and resource. However, it does not differentiate itself from the sibling 'waro_schema' or clarify the output format, leaving some ambiguity.

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 like 'waro_schema' or 'queries_run'. The description gives no context for selection, leaving an agent to guess.

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/uno0uno/waro-mcp'

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