get_developer_sprint_history

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

With no annotations, the description carries the full burden and does add valuable behavioral details: it uses the Jira changelog to compute accurate metrics and produces a flat table with developer as a column. However, it does not disclose permissions, rate limits, or any limitations (e.g., what happens with invalid sprint IDs), leaving gaps in transparency.

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 highly concise, with three sentences that all add distinct value: the core function, the data-source advantage, and the output format. Information is front-loaded and no sentence is redundant.

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?

Despite having an output schema, the description remains incomplete because it does not guide parameter selection or workflow. An agent cannot reliably construct a call for this 9-parameter tool without documentation on how sprint_ids, include_issue_detail, publish, and other fields should be used. The description covers the 'why' but not the 'how'.

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 0%, and the description makes no attempt to explain any of the 9 parameters. It does not clarify the role of sprint_ids (beyond obvious inference), publish, include_unassigned, table_style, or any other parameters, so the agent is left with schema names only.

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 tool's function as a 'multi-sprint rollup grouped by developer', which is specific and distinctive. It uses an action-oriented phrasing ('rollup') and names the resource (developers and sprints), effectively distinguishing it from sibling tools like get_sprint_issues or list_sprints.

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 clear usage context by specifying a useful sprint range ('2-5 sprints') and indicating the tool is for multi-sprint analysis. However, it does not explicitly mention when not to use it or point to alternatives, so it lacks explicit exclusions.

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