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rezo8

Datadog Logs MCP Server

by rezo8

search_logs

Search Datadog logs using custom queries within specified time ranges to retrieve relevant log entries for analysis and troubleshooting.

Instructions

Search Datadog logs with a query and time range

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesLog search query (e.g., 'env:prd AND service:pms-connectors')
fromYesStart time for log search (e.g., 'now-10m', '2024-01-01T00:00:00Z')
toYesEnd time for log search (e.g., 'now', '2024-01-01T01:00:00Z')
limitNoMaximum number of logs to return (default: 10)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool searches logs but lacks details on permissions, rate limits, pagination, or response format. For a search tool with no annotations, this is a significant gap in transparency.

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 a single, efficient sentence that front-loads the core purpose without unnecessary words. Every part earns its place, making it highly concise and well-structured.

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 no annotations and no output schema, the description is incomplete. It covers the basic action but lacks critical context like behavioral traits, return values, or usage guidelines. For a tool with 4 parameters and no structured support, this is inadequate.

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%, with all parameters well-documented in the input schema. The description adds minimal value beyond the schema by mentioning 'query and time range', which aligns with the parameters but doesn't provide additional semantics. Baseline 3 is appropriate as the schema does the heavy lifting.

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 action ('Search') and resource ('Datadog logs'), specifying the scope with 'with a query and time range'. It distinguishes from sibling tools like 'search_clickhouse' and 'search_cloudbeds_pms' by explicitly mentioning Datadog, though it doesn't explicitly contrast them. This is clear but lacks explicit sibling differentiation.

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 like the sibling tools. It mentions the tool's purpose but offers no context, exclusions, or prerequisites for usage, leaving the agent without direction on tool selection.

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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