cronometer-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 states this is a list/read operation ('List all recurring food entries') and describes the return data structure, which is helpful. However, it doesn't mention potential limitations like pagination, rate limits, authentication requirements, or whether the data is real-time vs cached. For a read-only tool with zero annotation coverage, more behavioral context would be beneficial.

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 efficiently structured in two sentences: the first states the core action, the second details the return data. Every phrase adds value—specifying 'recurring food entries,' 'repeat items configured in Cronometer,' and the exact fields returned. There's no redundant or vague language, and key information is front-loaded.

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 has 0 parameters, 100% schema coverage, and an output schema exists, the description is reasonably complete. It clearly explains what the tool does and what data it returns, which complements the structured output schema. However, with no annotations, additional behavioral context (like read-only nature or performance characteristics) would make it more complete for an AI agent.

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 tool has 0 parameters with 100% schema description coverage (empty schema). The description appropriately doesn't discuss parameters since none exist. It focuses instead on what the tool returns, which is valuable context. Baseline for 0 parameters is 4, as the description provides useful output semantics without unnecessary parameter discussion.

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: 'List all recurring food entries' and specifies what data is returned (food name, quantity, measure, diary group, days of week). It distinguishes from siblings like 'get_food_log' or 'get_daily_nutrition' by focusing specifically on recurring/repeat items. However, it doesn't explicitly contrast with 'delete_repeat_item' or 'add_repeat_item' in the description text itself.

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 by specifying 'recurring food entries' and 'repeat items configured in Cronometer,' suggesting this is for viewing configured repeat items rather than one-time entries. However, it doesn't provide explicit guidance on when to use this tool versus alternatives like 'get_food_log' or 'search_foods,' nor does it mention prerequisites or exclusions.

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