list_issue_events

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions analyzing 'event details, metadata, and patterns', which hints at output behavior, but lacks critical details like whether this is a read-only operation, if it requires authentication, pagination handling, rate limits, or what 'analyze' entails. The description is too vague for a mutation-sensitive context.

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

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

The description is a single, efficient sentence that front-loads the core purpose. However, the phrase 'Analyze event details, metadata, and patterns' is somewhat vague and could be more precise. Overall, it's appropriately sized with minimal waste.

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

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 for a tool with 4 parameters. It fails to address key behavioral aspects like safety (read vs. write), authentication needs, or output format details. For a list operation in a potentially complex system like Sentry, more context is needed to ensure proper agent usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

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 all parameters. The description adds no additional meaning beyond what's in the schema—it doesn't explain parameter interactions, default behaviors, or practical usage examples. Baseline score of 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.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'List' and resource 'events for a specific Sentry issue', making the purpose unambiguous. It distinguishes from siblings like 'list_error_events_in_project' by focusing on issue-specific events rather than project-wide errors. However, it doesn't explicitly differentiate from 'get_sentry_event' which might retrieve a single event.

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

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. It doesn't mention when to choose 'list_issue_events' over 'list_error_events_in_project' or 'get_sentry_event', nor does it specify prerequisites like needing an issue ID. Usage is implied but not explicitly stated.

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