Nuanced MCP Server

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

No annotations are provided, so the description carries full burden. It mentions 'comprehensive impact analysis' but doesn't disclose behavioral traits like whether this is a read-only operation, if it requires specific permissions, execution time, rate limits, or what 'impact' entails (e.g., dependencies, side effects). The description is vague about the tool's behavior beyond its basic purpose.

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 appropriately sized and front-loaded: the first sentence states the purpose clearly. The Args and Returns sections add structure, though 'Returns' is redundant since it just restates the purpose. No unnecessary sentences, but could be more efficient by integrating parameter info.

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 no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks details on what the analysis includes, output format, error conditions, or how it differs from siblings. For a tool with two parameters and potential complexity in impact analysis, this is inadequate.

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. It lists both parameters ('file_path' and 'function_name') in the Args section, providing basic semantics. However, it doesn't add meaning beyond naming them—no details on format, constraints, or examples. With 0% coverage, this partial compensation earns a baseline score.

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: 'Analyze the impact of changing a specific function' and 'performs a comprehensive impact analysis'. It specifies the verb (analyze) and resource (function), but doesn't explicitly differentiate from sibling tools like 'analyze_dependencies' or 'get_function_call_graph', which might have overlapping purposes.

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 sibling tools like 'analyze_dependencies' or 'get_function_call_graph', nor does it specify prerequisites, exclusions, or contextual triggers for usage. The only implied usage is when you want to understand impact before modifying a function.

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