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update-person

Modify employee or contractor details in Float.com, including name, email, job title, department, hourly rate, and status.

Instructions

Update an existing person

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
people_idYesThe person ID (people_id)
nameNoPerson name
emailNoEmail address
job_titleNoJob title
department_idNoDepartment ID
default_hourly_rateNoDefault hourly rate
employee_typeNoEmployee type (1=full-time, 0=part-time)
people_type_idNoPeople type (1=employee, 2=contractor, 3=placeholder)
activeNoActive status (1=active, 0=archived)
Behavior2/5

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. 'Update an existing person' implies a mutation operation, but it doesn't specify permissions required, whether changes are reversible, rate limits, or what happens to unspecified fields. This leaves critical behavioral traits undocumented for a tool that modifies data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action ('Update an existing person'), making it immediately understandable. Every word earns its place, achieving optimal conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with 9 parameters and no annotations or output schema, the description is inadequate. It doesn't explain the update behavior (e.g., partial vs. full updates), error conditions, or return values. Given the complexity and lack of structured data, more context is needed to guide effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with each parameter clearly documented (e.g., 'employee_type' described as '1=full-time, 0=part-time'). The description adds no additional parameter information beyond what's in the schema, so it meets the baseline score of 3 for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Update an existing person' clearly states the verb ('update') and resource ('person'), but it's vague about what aspects can be updated and doesn't differentiate from sibling tools like 'update-account' or 'update-client'. It provides basic purpose but lacks specificity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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. The description doesn't mention prerequisites (e.g., needing a person ID), exclusions, or related tools like 'create-person' or 'delete-person'. It's a standalone statement with no contextual usage information.

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

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