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bulk_update_time_reports

Apply a common text description update to multiple of your own time entries. Supply ids (list of time-report ids, max 100) and text (the new description). Returns per-id results — partial failures are reported rather than aborting the whole batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesIds of the time entries to update (max 100).
textYesNew description to apply to all entries (max 1000 characters).
idempotency_keyNoOptional caller-supplied key; retrying with the same key returns the original result instead of acting twice.

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries full burden. It discloses that partial failures are reported per-id rather than aborting, and implies a write operation. It could mention idempotency behavior or permissions but still adds meaningful behavioral context 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?

Three concise sentences: first states the main action, second lists required inputs with constraints, third explains failure handling. No unnecessary words, front-loaded with purpose.

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 covers the key behavioral detail (per-id results, partial failures). It could mention the return format or idempotency behavior for completeness, but it is adequate for a simple bulk update 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 coverage is 100%, so baseline is 3. The description repeats the purpose of 'ids' and 'text' but adds little beyond schema, such as the ownership constraint for ids. It does not elaborate on 'idempotency_key' behavior. No significant added value for parameters.

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?

Clearly states the action 'apply a common text description update to multiple of your own time entries'. The verb 'apply' and resource 'time entries' are specific. It distinguishes from siblings like 'update_time_report' (single) and 'bulk_create_time_reports' (create vs update) by highlighting the bulk update nature and ownership scope.

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 provides clear context for when to use (batch updating own time entries with same description) and the required inputs. However, it does not explicitly state when not to use or suggest alternatives like single-update tools, which is acceptable given sibling names but not excellent.

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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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