process_1099_income

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool processes forms and calculates tax impact, implying a read-only analysis (not a write operation like filing). However, it lacks critical details: whether it requires authentication, how it handles errors, if it has rate limits, what the output format is (no output schema), or if it performs destructive actions. For a tool with 4 parameters and no annotations, this is a significant 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 that front-loads the core purpose and lists the 1099 types. There's no wasted text, and it's appropriately sized for the tool's complexity. However, it could be slightly more structured by separating usage context from the type list.

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 (4 parameters, nested arrays in 'forms', no output schema, and no annotations), the description is incomplete. It doesn't explain the output (e.g., tax impact details), error handling, or how parameters like 'w2Income' integrate with 1099 processing. For a tax calculation tool with multiple inputs, this leaves the agent guessing about behavioral outcomes.

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 75%, so the schema documents most parameters well (e.g., 'taxYear', 'filingStatus' enum, 'forms' array). The description adds minimal value beyond the schema: it implies the tool handles specific 1099 types listed, which aligns with the 'type' enum in the schema. However, it doesn't explain parameter interactions (e.g., how 'w2Income' affects calculations) or provide examples, so it meets the baseline for high schema coverage.

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: 'Process multiple 1099 forms and calculate the tax impact of each income type.' It specifies the verb ('process' and 'calculate') and resource ('1099 forms'), and lists the specific 1099 types handled. However, it doesn't explicitly differentiate from sibling tools like 'calculate_federal_tax' or 'simulate_tax_scenario', which might also involve tax calculations.

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 prerequisites (e.g., needing 1099 data), exclusions (e.g., not for W-2 income alone), or comparisons to siblings like 'calculate_federal_tax' or 'simulate_tax_scenario'. The agent must infer usage from the purpose alone.

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