Approve time entry
timelog_approve_timeApprove a time entry. Requires 'time.approve' permission.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| time_entry_id | Yes |
timelog_approve_timeApprove a time entry. Requires 'time.approve' permission.
| Name | Required | Description | Default |
|---|---|---|---|
| time_entry_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds a permission requirement ('Requires time.approve permission'), which is useful behavioral context beyond the annotations. However, it does not disclose what approval changes about the entry, whether it is reversible, or whether there are workflow state prerequisites, leaving meaningful behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: 'Approve a time entry' plus a short permission note. Both sentences earn their place, and the core verb-resource structure is front-loaded with no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-parameter action, the description is minimally viable: an agent can infer what to pass and what permission is needed. However, it omits context about the expected state of the entry, the effect of approval, and how this differs from other timelog actions, leaving noticeable gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the burden of explaining the parameter semantics. It does not elaborate on time_entry_id beyond the property name, although the name and uuid format make the parameter largely self-explanatory. Still, the description adds no real semantic detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear action ('Approve') on a specific resource ('a time entry'), which matches the tool name and title. It does not explicitly distinguish itself from the sibling 'timelog_approve_expense', but the resource is different enough that the core purpose is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as timelog_update_entry or timelog_approve_expense. The only usage-related information is the permission requirement, which is a prerequisite rather than selection guidance.
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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Most tools follow a clear resource+action pattern and the descriptions are unusually precise about boundaries. A few near-overlaps remain: projects_get_finance vs projects_get_financials, and notes_create vs crm_log_activity on a deal are both plausible for recording a note on a deal.
The domain_prefix_action convention is consistent across nearly all tools, e.g. crm_create_lead, projects_update_risk, timelog_approve_time. Deviations include standalone list_trash, meta tools like whoami/tool_search/tool_invoke, and the confusing projects_get_finance/projects_get_financials pair.
With 105 tools, this far exceeds the 50+ threshold defined as an extreme mismatch. Even for a full ERP/CRM suite, the fine-grained split—39 project tools alone—creates a massive tool-selection surface that is hard for an agent to navigate reliably.
The surface covers CRM, projects, tasks, time/expenses, HR, notes, notifications, contracts, and reporting with create/read/update/delete for most primary entities. Minor gaps exist: crm_log_activity has no read-back path, contracts lack delete/restore, and proposals are intentionally read-only, but agents can work around these.