get_saas_spend_summary

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

No annotations are provided, and the description gives no information about behavioral traits such as read-only nature, authentication requirements, rate limits, or data freshness. The description only states the purpose, leaving the agent without safety cues.

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 concise: two sentences plus three example queries. It gets straight to the point with no wasted words and good structure.

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 lack of output schema, annotations, and 0% parameter coverage, the description is incomplete. It does not explain the return value (summary), date range filtering behavior, or any constraints, leaving significant gaps for a tool with two optional parameters.

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 coverage is 0%, so the description must compensate, but it does not mention the parameters (start_date, end_date) or explain how to use them for date filtering. The parameter names are self-explanatory but no additional guidance is given.

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 it is a dedicated summary of SaaS tool spending, listing examples like Datadog and Snowflake, and explicitly distinguishes from cloud infrastructure costs, differentiating it from sibling tools like get_cost_summary.

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 example questions that indicate when to use the tool (e.g., 'How much are we spending on SaaS tools?') and implies separation from cloud costs, but does not explicitly state when not to use it or list alternatives.

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