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get_time_logs

Read-onlyIdempotent

Retrieve registered worker time clocks and logged task labor hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional pagination limit
cursorNoOptional cursor
farmIdYesThe unique farm ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds nothing further about pagination behavior, result shape, or whether the two resource types are returned together or separately; the phrase 'time clocks' also leaves ambiguity about whether clock entities or clock events are returned.

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

Conciseness4/5

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

A single well-formed sentence with no filler, and the verb and resource are front-loaded. It is arguably too terse given the ambiguity it leaves, but nothing is wasted.

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

Completeness3/5

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

For a read-only, idempotent, farm-scoped list tool with a fully documented schema and no output schema, the description is minimally viable. It omits what a returned time log contains and how pagination should be driven, but annotations and schema cover the essentials.

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 description coverage is 100% with three documented parameters (farmId required, limit, cursor), so the schema carries the full burden. The description adds no meaning beyond the schema, which is the expected baseline when coverage is complete.

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?

States a specific verb ('Retrieve') and names the two resource types (worker time clocks and logged task labor hours), which is more informative than the bare name 'get_time_logs'. It does not, however, distinguish itself from siblings like get_mileage_logs or get_tasks, nor does it clarify the farm-scoped nature of the result.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as get_mileage_logs for a different log type. The agent must infer the usage context entirely from the tool name.

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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