cronometer-mcp

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

With no annotations provided, the description carries full behavioral disclosure burden. It describes the tool's core behavior (downloading data, saving files, default output directory) but lacks details about authentication requirements, rate limits, error conditions, or what happens if files already exist. The description doesn't contradict any annotations since none exist.

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 with the core purpose in the first sentence. The parameter explanations are organized in a clear 'Args' section. Minor redundancy exists ('Download Cronometer data' appears twice), but overall structure is efficient with minimal waste.

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 moderate complexity (4 parameters, file system operations) and the presence of an output schema (which handles return values), the description provides adequate context. It covers the tool's purpose, parameters, and output behavior (saving files). The main gap is lack of behavioral details like error handling or prerequisites, but the output schema reduces the need for return value explanation.

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?

With 0% schema description coverage, the description compensates well by explaining all 4 parameters in the 'Args' section, including their purposes, formats, defaults, and relationships (e.g., start_date defaults to 'days' ago). It adds meaningful context beyond the bare schema, though it doesn't explain parameter constraints or validation rules.

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 with specific verbs ('Download', 'save', 'regenerates') and resources ('Cronometer data', 'JSON exports', 'food-log.md'). It distinguishes from sibling tools by focusing on data synchronization and local file generation rather than API queries or data manipulation operations.

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 implies usage context through phrases like 'Download Cronometer data and save locally' and mentions environment variable configuration, but doesn't explicitly state when to use this tool versus alternatives like 'export_raw_csv' or other data retrieval tools. No explicit when-not-to-use guidance or sibling tool comparisons are provided.

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