list-spans-metrics
List configured span-based metrics with their definitions to review monitoring setup.
Instructions
List all configured span-based metrics with their definitions
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List configured span-based metrics with their definitions to review monitoring setup.
List all configured span-based metrics with their definitions
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description lacks any behavioral traits such as safety, permissions, or performance implications, leaving the agent with minimal information.
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?
Single sentence, front-loaded with key action and resource, no wasted words.
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?
Adequate for a simple list tool given no output schema; covers the basic action and resource scope, though could benefit from clarifying what 'definitions' includes.
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?
No parameters (0), baseline 4; description adds value by specifying 'all' and 'definitions' but no further semantic need.
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 lists all configured span-based metrics with definitions, using a specific verb and resource, and distinguishes from sibling list tools by resource type.
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 vs alternatives like get-spans-metric or other list tools; implicit usage only.
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/us-all/datadog-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server