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list_my_time_entries

List the current user's own individual time entries for a date range: for each, its time_report_id (what update_time_report and delete_time_report take), date, start and end time of day on the organization's clock, project and subtask names and ids, hours, description, billable flag and status. Use this to see exactly what was logged (the per-entry detail), as opposed to aggregated totals, and to find the entry the user wants to change or delete.

Input Schema

NameRequiredDescriptionDefault
limitNoOptional maximum number of entries to return (1-200, default 200). Entries are returned most-recent first.
end_dateYesEnd date of the range (ISO 8601 format, e.g. 2026-01-31)
start_dateYesStart date of the range (ISO 8601 format, e.g. 2026-01-01)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden, and it does disclose a lot: the current-user scoping, the exact field set returned, and the meaningful linkage that time_report_id is what update_time_report/delete_time_report consume. It omits the default limit cap and any permission/auth notes, but for a read-only list tool this is strong disclosure.

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?

Front-loaded with the verb and scope, then the field list, then the usage guidance. The field enumeration is long but justified because there is no output schema, and each sentence earns its place.

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?

With no output schema, the description compensates by enumerating the returned fields and the time_report_id linkage, and with no annotations it still conveys read-only, user-scoped behavior. Complete enough for correct invocation; only minor gaps (pagination defaults, auth) remain.

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%, so start_date, end_date, and limit are already fully documented in the schema (including the 1-200 range and most-recent-first ordering). The description only restates 'for a date range' and adds nothing about parameter formats or semantics, so baseline 3 applies.

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

Purpose5/5

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

States a specific verb (List), resource (individual time entries), and scope (the current user's own, for a date range), then enumerates the returned fields. This clearly distinguishes it from aggregated tools in the sibling set (get_hours_summary, get_dashboard_metrics) without opening either schema.

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?

Explicitly says when to use it: 'to see exactly what was logged (the per-entry detail), as opposed to aggregated totals, and to find the entry the user wants to change or delete.' Names the conceptual alternative (aggregated totals) and the downstream use case, though it doesn't cite the specific sibling tool names.

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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