add_issues_to_sprint

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states the action is 'Add' (implying a write/mutation operation) but doesn't disclose critical traits: whether it requires specific permissions, if it's idempotent (adding duplicate issues), what happens on failure (partial adds), rate limits, or response format. The description doesn't contradict annotations (none exist), but it's insufficient for a mutation tool.

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, direct sentence with zero wasted words—front-loaded and perfectly concise. It efficiently communicates the core action without unnecessary elaboration, making it easy to parse quickly.

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 a mutation tool with 2 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on behavior, error handling, parameter semantics, and integration with sibling tools (e.g., 'get_current_sprint'). For a tool that modifies data, this minimal description risks misuse or confusion by the agent.

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%, so the description must compensate but adds no parameter details. It doesn't explain what 'sprintId' and 'issueIds' represent (e.g., numeric IDs, strings), their format, sourcing (from 'list_sprints' or 'list_issues'), or constraints (e.g., max issues per call). The description repeats the tool name without enhancing parameter understanding.

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 action ('Add') and target ('issues to an existing sprint'), making the purpose immediately understandable. It distinguishes from sibling tools like 'create_sprint' (creates new sprints) and 'remove_issues_from_sprint' (removes issues). However, it doesn't specify what type of 'issues' (e.g., tasks, bugs) or mention the resource context (e.g., project management system).

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 prerequisites (e.g., sprint must exist, issues must be unassigned), exclusions (e.g., cannot add issues to completed sprints), or related tools like 'create_issue' (to first create issues) or 'plan_sprint' (for broader sprint planning). Usage is implied but not explicitly defined.

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