run_tax_estimate
Estimate income tax and social contributions for a salary.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| country | Yes | ||
| currency | Yes | ||
| gross_salary | Yes |
Estimate income tax and social contributions for a salary.
| Name | Required | Description | Default |
|---|---|---|---|
| country | Yes | ||
| currency | Yes | ||
| gross_salary | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description fully carries the burden. It does not disclose behavioral traits such as accuracy, data source, output format, or consequences of invalid inputs.
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?
One sentence is concise and front-loaded. However, it lacks substance for a complex tool, making it under-informative rather than efficiently concise.
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 tax estimation complexity, zero annotations, no output schema, and 0% param coverage, the description is severely incomplete. It fails to help an agent understand input constraints, output, or behavior.
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%. The description adds no meaning beyond the schema, failing to explain what 'country' (e.g., ISO code?), 'currency' (3-letter code?), or 'gross_salary' (annual/monthly?) entail.
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 estimates income tax and social contributions for a salary. It uses a specific verb and resource, and it distinguishes itself from sibling tools like run_salary_comparison or run_retirement_projection.
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?
No guidance is provided on when to use this tool versus alternatives. There is no context about prerequisites, typical use cases, or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.