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prismhr-mcp

payroll_batch_status

Retrieve payroll batches for a client within a date range, including batch IDs, pay dates, status, voucher counts, and gross totals.

Instructions

Find the payroll batches a client ran in a date window.

Use when the user asks things like "what payrolls ran at Acme in March" or "show me this quarter's batches for client ABC". Returns batch IDs, pay dates, status, voucher counts, and gross totals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_idYesThe client to look at.
start_dateYesFirst day to include (YYYY-MM-DD).
end_dateYesLast day to include (YYYY-MM-DD).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_idYes
start_dateYes
end_dateYes
batchesYes
countYes
Behavior3/5

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

No annotations provided, so description bears full burden. It implies read-only behavior by mentioning 'find' and 'returns', but does not explicitly state it is side-effect-free. Could be more transparent about safety implications.

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 concise with three sentences: purpose, usage examples, and return values. Front-loaded with the core action, no wasted words. Efficient and easy to parse.

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

Completeness4/5

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

Given the output schema exists, description does not need to detail return values, but it still lists them. Covers the use case adequately. Missing information on pagination or limits, but for a simple query tool this is sufficient.

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?

Schema coverage is 100% with clear descriptions for each parameter. The tool description adds example usage but no additional semantic detail beyond the schema. Baseline 3 is appropriate as description adds minimal extra meaning.

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

Purpose4/5

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

The description clearly states the tool finds payroll batches in a date window, using specific verbs and resource. It includes example user queries to clarify purpose, but does not explicitly differentiate from sibling tools like payroll_pay_history or payroll_superbatch_status.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit context for when to use, with example user queries. However, lacks guidance on when not to use or alternatives, which would help in distinguishing from similar tools.

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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