Skip to main content
Glama

get_trace_details

Retrieve trace details including span tree and timing information to analyze distributed system performance in Sentry.

Instructions

Retrieve trace details including span tree and timing information. Useful for analyzing distributed system performance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organization_slugYesOrganization slug
trace_idYesTrace ID (32-character hex string)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions retrieving details but doesn't cover critical aspects like whether this is a read-only operation, potential rate limits, authentication needs, or error handling. This leaves significant gaps in understanding the tool's behavior.

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 highly concise and well-structured with two sentences that directly convey the tool's purpose and usage context. Every sentence earns its place without any wasted words, making it easy to parse and understand quickly.

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?

Given the tool's moderate complexity (2 required parameters, no output schema, no annotations), the description is somewhat complete but lacks depth. It covers the basic purpose and usage but misses details on behavioral traits and output format, which are important for a tool without annotations or output schema.

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?

The input schema has 100% description coverage, so the schema already documents both parameters ('organization_slug' and 'trace_id') adequately. The description doesn't add any additional meaning or context beyond what the schema provides, resulting in a baseline score of 3.

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's purpose with specific verbs ('Retrieve trace details') and resources ('trace details including span tree and timing information'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'get_issue_details' or 'search_issue_events', which prevents a perfect score.

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

Usage Guidelines3/5

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

The description provides implied usage guidance by mentioning it's 'Useful for analyzing distributed system performance', which suggests when to use it. However, it lacks explicit guidance on when to use this tool versus alternatives or any exclusions, leaving room for ambiguity.

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/utapyngo/sentry-mcp-rs'

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