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elad12390

Sentry MCP Server

by elad12390

sentry_trace_lookup

Look up a Sentry trace ID to retrieve spans and errors across all services, grouped by service with a timeline.

Instructions

🔗 TRACE ID LOOKUP TOOL - Use when the user mentions a Sentry trace ID (a 32-char hex string like 'ce8f0d3961214198a040517b3dfda0d4') or asks: 'find this trace', 'what happened in this request', 'follow this trace across services', 'what services touched this request', 'show the trace timeline', or 'distributed trace'. CRITICAL: when a user pastes a trace ID and asks to find/follow it, use THIS tool - not search_issues. It returns every span and error across all projects/services that participated in the trace, grouped by service with a timeline.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax trace items to include in the timeline. Default: 100.
trace_idYesThe 32-character hexadecimal Sentry trace ID to look up.
reasoningYesExplanation of why you are using this tool and what you hope to find.
time_windowNoHow far back to search (Sentry statsPeriod). Examples: '24h', '7d', '14d'. Default: '14d'.
Behavior4/5

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

Describes return structure (spans, errors, grouped by service with timeline). No annotations exist, so this adds useful behavioral context, though more details on limitations or edge cases could enhance transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is somewhat verbose with emoji and all-caps emphasis. While front-loaded, it could be more concise and structured without sacrificing clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite lacking output schema and annotations, description covers key aspects: purpose, usage, expected output. Missing details on performance implications or error handling, but adequate for a well-scoped tool.

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%, baseline 3. Description does not add significant meaning beyond the schema's own parameter descriptions; it only reiterates context already present in schema fields.

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?

Description clearly states the tool is for Sentry trace ID lookup, provides example user queries, and explicitly distinguishes from the sibling 'search_issues' tool.

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?

Provides explicit when-to-use scenarios (mention of trace ID, specific user phrases) and a critical exclusion ('not search_issues'), guiding correct agent 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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