Log Analyzer MCP

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the tool 'runs a script' and 'generates reports,' implying a potentially resource-intensive or time-consuming operation, but doesn't disclose critical traits like execution time, permissions needed, side effects (e.g., file creation), error handling, or rate limits. This leaves significant gaps in understanding how the tool behaves.

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, with a clear purpose statement followed by separate 'Args' and 'Returns' sections. Every sentence adds value: the first explains the action, and the subsequent sections detail inputs and outputs. It's front-loaded with the main functionality, making it efficient to parse.

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 tool's complexity (involves running scripts and generating files), no annotations, and an output schema (which handles return values), the description is partially complete. It covers the basic purpose and parameters but lacks behavioral details (e.g., execution context, file paths, errors). With an output schema, it doesn't need to explain return values, but other gaps remain, making it adequate but not fully informative.

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 description includes an 'Args' section that explains the 'force_rebuild' parameter, adding meaning beyond the input schema (which has 0% description coverage). However, with only 1 parameter and the schema providing basic type info, the description compensates adequately but not richly—it doesn't detail default behavior or implications of the parameter. Given the low schema coverage, this is a minimal improvement.

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: 'Run the coverage report script and generate HTML and XML reports.' It specifies the action (run script, generate reports) and outputs (HTML and XML reports), making it easy to understand what the tool does. However, it doesn't differentiate from sibling tools like 'analyze_tests' or 'run_tests_*', which might also relate to testing/reporting, so it doesn't fully distinguish from alternatives.

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 any prerequisites, context (e.g., after running tests), or comparisons to sibling tools like 'analyze_tests' or 'run_tests_*', leaving the agent to guess based on tool names alone. This lack of explicit when/when-not instructions reduces its helpfulness.

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