Flag Application for Panel Discussion

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

The description explicitly notes that it changes the application's review_status and is not read-only, which aligns with annotations (readOnlyHint=false, destructiveHint=false). It also discloses error handling behavior for a non-existent ID. While annotations already indicate it's a write operation (readOnlyHint=false), the description adds value by specifying the exact field change and the specific return value (updated application record as JSON).

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 well-structured and concise. It front-loads the primary purpose, then explains the behavioral change (review_status), gives usage guidance, lists parameters, states the return value, and includes error handling. Each sentence earns its place, and the structure (description → behavior → usage → args → return → errors) is logical and skimmable. No fluff or redundancy.

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 the moderate complexity (three simple string parameters, no output schema, but a clear behavioral change), the description is complete. It covers purpose, usage context, the state-changing effect, return format, and error case. The sibling tools are search/list/read operations, so this flag tool stands out clearly. No significant gaps remain for an agent to understand what this tool does and when to invoke it.

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?

The input schema already has 100% coverage of the three parameters (id, reviewer, note) with detailed descriptions, including formats and constraints (e.g., minLength=1, maxLength). The description's 'Args' section minimally reiterates the parameter names without adding substantive new meaning beyond the schema. The baseline score of 3 applies because the schema does the heavy lifting, and the description doesn't offer additional parameter insights.

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 what the tool does: 'Mark an application as flagged_for_discussion and attach a reviewer note' – a specific verb (flag) targeting a specific resource (application). It immediately distinguishes itself from siblings like k4g_search_applications or k4g_get_application by focusing on the flagging action and the context of needing a second opinion or panel discussion.

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 guidance on when to use this tool: 'when an application needs a second opinion or a full-panel discussion rather than a solo decision'. This effectively implies an alternative (solo decision) but does not explicitly name a sibling tool as an alternative. The context is clear and actionable, though it could be improved by referencing specific sibling tools for comparison.

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