Serena MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions timing ('after you have fully completed any non-trivial coding task') and dependencies ('only after the think_about_whether_you_are_done call'), which adds some context. However, it doesn't describe what the tool actually does behaviorally (e.g., how it summarizes changes, what format the summary is in, whether it modifies anything, or if it's read-only). For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 two sentences, both of which earn their place: the first states the purpose, and the second provides critical usage guidelines. It's front-loaded with the core function and avoids any redundant or unnecessary information, making it highly efficient and well-structured.

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 complexity (a summary tool with no parameters and no output schema), the description is partially complete. It covers purpose and usage guidelines well, but lacks details on behavioral aspects (e.g., what the summary includes, how it's formatted, or if it's a read operation). Without annotations or an output schema, the description should do more to explain what the tool returns or how it behaves, leaving some contextual gaps.

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 has 0 parameters with 100% schema description coverage, so the schema fully documents that no inputs are required. The description doesn't need to add parameter information, and it correctly doesn't mention any parameters. Since there are no parameters, the baseline is 4, as the description appropriately focuses on usage rather than parameter details.

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 purpose: 'Summarize the changes you have made to the codebase.' This is a specific verb ('summarize') and resource ('changes to the codebase'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'think_about_task_adherence' or 'think_about_whether_you_are_done' that might involve reflection on changes.

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 explicit usage guidelines: 'This tool should always be called after you have fully completed any non-trivial coding task, but only after the think_about_whether_you_are_done call.' This clearly states when to use it (after non-trivial coding tasks) and includes a prerequisite (call 'think_about_whether_you_are_done' first), offering strong guidance.

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