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Knowify: List time entries

knowify_list_time_entries
Read-only

Knowify: Time entries from Review Time: person, job, phase, hours, billable and approval state. Returns the time entries you see in Review Time between two dates, with person, job, phase, hours, billable flag and approval state. Filter by job or by approved and unapproved to find entries waiting for review. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesLast day.
fromYesFirst day.
job_idNoOnly entries on this job.
approvedNoall, approved or unapproved. Default: all.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds real value beyond them: the exact returned fields (person, job, phase, hours, billable flag, approval state) and an auth requirement (Cotlet API key with access to this app).

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

Conciseness3/5

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

The field list (person, job, phase, hours, billable and approval state) is stated twice in consecutive sentences, which is redundant. The purpose is front-loaded, but the duplication wastes space.

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 4 parameters, no output schema and annotations covering safety, the description supplies the return fields, filter behavior and auth need. It is close to complete for a filtered read tool, lacking only pagination/limit context.

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 from/to/job_id/approved are already documented in the schema. The description only restates the job and approved filters without adding format or default semantics, so the baseline 3 is appropriate.

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 (list/returns) and resource (time entries) scoped to the 'Review Time' view, and enumerates the fields returned. It is clear what the tool does, though it does not explicitly distinguish itself from sibling list/log tools by name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Offers one usage context, 'find entries waiting for review', and notes job/approval filters. It never states when NOT to use it or names a concrete alternative (e.g. knowify_log_time), so guidance is only implied.

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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