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micaelmalta

MCP Datadog Server

by micaelmalta

search_monitors

Search Datadog monitors by name, tags, or other criteria. Locate specific monitors without needing their exact ID.

Instructions

Search for monitors by name or other criteria. Useful for finding specific monitors when you don't remember the exact ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoOptional tag filters (e.g., ["env:prod", "service:api"])
queryYesSearch query string to match against monitor names and properties (e.g., 'API latency', 'database')
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the search intent without mentioning result limits, matching behavior (partial/fuzzy), pagination, or any side effects. For a search tool, this is minimal but not misleading.

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 two sentences, immediately states the primary action and resource, and provides a clear use case. No word is wasted.

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?

For a simple search tool with no output schema and no annotations, the description is adequate but sparse. It explains what it does and when to use it, but does not describe return format or any behavioral quirks, which could be relevant given the absence of structured output documentation.

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 fully documents both 'query' and 'tags.' The description adds no additional parameter meaning beyond what the schema already provides, matching the baseline for high schema coverage.

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 'searches for monitors by name or other criteria,' using a specific verb and resource. It distinguishes itself from 'list_monitors' by focusing on search, but does not explicitly differentiate from sibling tools.

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 provides a clear usage context: 'useful for finding specific monitors when you don't remember the exact ID.' This gives the agent a concrete scenario, though it does not explicitly state when not to use it or mention alternatives.

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

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