Summarize

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

With no annotations, the description carries the full burden of behavioral disclosure. It adds useful context: the operation groups by category and treats the date range as inclusive. However, it does not clarify what 'summarize' produces (totals, counts, averages, or a list of category summaries), nor how the optional category parameter affects the output. This is a clear gap.

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 a single, efficient sentence with no filler. The core action, grouping dimension, and date-scoping detail are all front-loaded and every word contributes.

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?

This is a simple tool with no output schema and no annotations, so the description must explain both inputs and expected results. It covers the input semantics reasonably but says nothing about the return shape or summary metric, leaving an agent uncertain about how to interpret the result. The missing return-value disclosure makes it incomplete for practical invocation.

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 maps 'category' to grouping and 'start_date'/'end_date' to an inclusive range, adding real meaning beyond bare parameter names. Yet it does not explain expected date formats, the behavior when category is null, or how null values are treated, so it only partially compensates.

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 states a specific verb ('summarize'), a resource ('expenses'), and the grouping dimension ('by category') plus a scoping constraint (inclusive date range). This clearly separates it from the sibling tools add_expense and list_expenses, so an agent can distinguish it without unpacking the schema.

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 intended use is implied by the verb 'summarize' — an agent can infer it should be used when aggregated category-level insights are needed rather than raw expense records. However, there is no explicit mention of when to choose this over list_expenses, and no exclusions or alternative tool references are provided.

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