Skip to main content
Glama
us-all

datadog-mcp-server

update-logs-metric

Update filter, group-by, or percentile settings for a log-based metric to refine data aggregation and tracking.

Instructions

Update a log-based metric's filter, group-by, or percentile settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricIdYesThe name of the log-based metric to update
includePercentilesNoWhether to include percentile aggregations. Only for distribution metrics
filterQueryNoUpdated log search query to filter events
groupByNoUpdated fields to group the metric by
Behavior2/5

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

Annotations indicate write operation (readOnlyHint=false) and potential side effects (openWorldHint=true). The description confirms 'update' but adds no additional behavioral traits, such as whether changes are incremental or full replacement, or what happens if the metric doesn't exist.

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?

Single sentence, front-loaded with key information. No unnecessary words or repetition. Efficient.

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?

Minimally adequate for a simple mutation tool with full schema coverage, but lacks details about response, partial updates, or validation. No output schema increases need for behavioral context, which is missing.

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?

All parameters have descriptions in the schema (100% coverage), so the description's mention of 'filter, group-by, or percentile settings' adds no new meaning. It serves as a summary but not extra semantics.

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 the verb 'update', the resource 'log-based metric', and specifies the settings to update: 'filter, group-by, or percentile settings'. This distinguishes it from sibling tools like create- or delete- variants.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or scenarios to avoid. It simply describes the action without context.

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/us-all/datadog-mcp-server'

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