get_grouping_config

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

No annotations are provided, so the description bears full burden. It indicates a read operation (get) and mentions the output (rules and config, explanation of grouping). However, it does not disclose aspects like required permissions, return format, or potential errors. The transparency is adequate but not thorough.

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?

Two concise sentences: first states the action and resource, second adds the value proposition. Front-loaded, every word earns its place.

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?

For a simple one-parameter getter without an output schema, the description adequately explains what is returned (configuration and rationale). It could hint at the structure of the configuration object, but given the tool's simplicity, the description is complete enough.

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 coverage is 100%: the only parameter 'issue_id' is fully described in the input schema. The description does not add extra meaning beyond what the schema provides, so it meets the baseline expectation.

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?

Clearly states the tool retrieves 'fingerprinting rules and grouping configuration', with the added value 'shows why events are grouped together'. This distinguishes it from sibling tools like 'get_issue_hashes' or 'get_issue_tags' which deal with different aspects of issues.

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 implies usage when understanding grouping behavior (e.g., to inspect why events are grouped), but does not explicitly state when not to use it or mention alternative tools. The context is clear enough for appropriate selection.

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