Skip to main content
Glama

queryEntities

Read-onlyIdempotent

Query entities on a 3D globe by name, type, or geographic area. Returns matched data with success status.

Instructions

Query page entities by name, type, or geographic extent. Returns { success: boolean, data?: unknown, message?: string, error?: string }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bboxNoSpatial extent filter [west, south, east, north] (degrees)
nameNoName fuzzy match (case-insensitive)
typeNoFilter by entity type
sessionIdNoTarget browser session ID for multi-browser routing (optional)
Behavior5/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, ensuring safe, idempotent querying. The description adds the return type (success, data, message, error), providing valuable behavioral context beyond annotations.

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 sentence plus return type, front-loaded and efficient. No wasted words, but could be slightly more structured (e.g., listing supported filters).

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

Completeness3/5

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

The description specifies the return shape, but lacks details like result limits, pagination, or default sorting. Given no output schema, more context on result structure would improve completeness.

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?

Schema description coverage is 100%, so the schema already explains each parameter. The description adds no new semantics; it just restates the filter dimensions. 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?

The description clearly states it queries page entities by name, type, or geographic extent. It distinguishes from sibling tools that add, remove, or modify entities, making the purpose distinct.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for reading entities, but does not explicitly state when to use this tool versus alternatives like getEntityProperties or search functions. It lacks 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.

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/gaopengbin/cesium-mcp'

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