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moondef

otel-mcp

by moondef

Query Spans

query_spans
Read-only

Search for specific spans across traces to find patterns like slow database queries or failed HTTP calls, filtered by name, service, duration, error status, or attributes.

Instructions

Search for specific spans across all traces. Use this to find patterns like slow database queries, failed HTTP calls, or specific operations by name. More targeted than list_traces when looking for specific operation types.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoSpan name contains (case-insensitive)
serviceNoService name
min_duration_msNoMinimum duration in milliseconds
has_errorNoOnly error spans
attributeNoAttribute filter: "key=value" or "key" (exists)
whereNoExpression filter. Examples: "duration > 100", "status = error", "http.status_code >= 400", "duration > 50 AND status = error"
since_minutesNoTime filter (default: 30)
limitNoMax results (default: 50, max: 200)
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description's mention of 'search' is consistent but adds no behavioral context beyond that. No details on pagination, coverage, or edge cases.

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?

Two sentences, front-loaded with action and examples. Every word adds value, no redundancy.

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?

Adequate for a query tool with well-documented parameters, but lacks mention of output format or fields returned. Sibling tools provide context but description could be more complete.

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 coverage is 100%, so each parameter is already well-documented. The description does not add parameter-specific details beyond the schema, but it reinforces the intended use.

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?

Specifically states the verb 'Search' and resource 'specific spans across all traces', with concrete examples (slow database queries, failed HTTP calls). Distinguishes from sibling tool list_traces by saying it is 'more targeted'.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool: 'to find patterns like slow database queries, failed HTTP calls, or specific operations by name'. Directly contrasts with sibling list_traces, providing clear guidance on which to choose.

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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