Skip to main content
Glama

list_my_time_entries

List the current user's own individual time entries for a date range, with project name, task/subtask ids, hours, description, billable flag and status. Use this to see exactly what was logged (the per-entry detail), as opposed to aggregated totals.

Input Schema

TableJSON 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)

TDQS

A3.8/5.0
Behavior2/5

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 explicitly state that the tool is read-only, safe, or any behavioral traits like pagination, rate limits, or authorization requirements. It only implies a listing operation without disclosure of side effects or constraints beyond the schema.

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 consists of two concise sentences. The first sentence efficiently states the core functionality and returned fields. The second sentence provides brief usage guidance. No redundant or extraneous words.

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 no output schema, the description compensates by listing the key fields returned (project name, task/subtask ids, hours, description, billable flag, status). It also clarifies the scope (current user's entries) and differentiates from aggregated totals. It does not mention pagination or ordering, but the schema handles those. Overall, it's nearly complete for a list tool.

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 the schema already documents all three parameters. The description does not add any extra meaning or formatting details beyond what the schema provides. Baseline score of 3 is appropriate.

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?

The description clearly states the verb 'List' and the resource 'current user's own individual time entries' for a date range. It also lists specific fields returned (project name, task/subtask ids, hours, description, billable flag, status), and distinguishes from aggregated totals, providing a precise purpose.

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?

The description explicitly tells when to use this tool: 'Use this to see exactly what was logged (the per-entry detail), as opposed to aggregated totals.' This contrasts with aggregated reporting tools. It could mention scenarios where not to use it, but the contrast is effective.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3/5.0
Disambiguation2/5

Multiple tools have overlapping purposes, e.g., create_time_report and log_time both create a single time entry with near-identical descriptions. There are also many similar getter/list tools that blur together, making it hard for an agent to select the right one.

Naming Consistency2/5

Most tool names use snake_case, but verbs are inconsistent: 'list' vs 'get' for similar operations, 'manage' combines create/update/delete, and 'use_favorite' is an outlier. This pattern reduces predictability.

Tool Count1/5

With 114 tools, the set is extremely large and far beyond a well-scoped server (typical 3-15). This overwhelms agents and suggests many tools could be consolidated or removed.

Completeness3/5

The tool surface covers a broad domain including customers, projects, tasks, time tracking, invoicing, and user management, but there are gaps like no list_users or direct user listing, and some operations seem redundant rather than filling missing functionality.

Resources