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recent_entries

Retrieve your most recently booked project, activity, and description combinations for quickly re-logging recurring timesheet entries.

Instructions

The project/activity/description combinations this user booked most recently.

Best first call for "log the usual" or "same as yesterday" requests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral disclosure burden. It conveys that the tool reads the user's most recent bookings but does not explicitly state that it is non-mutating, nor does it describe ordering or result limits. For a simple query tool with an output schema, this is adequate but not thorough.

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?

Two short sentences with no filler. The first sentence states the core function and the second adds high-value usage guidance. Every word 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?

For a one-parameter read tool with an output schema, the description provides sufficient context: what is returned, whose data is returned, and when to call it. Minor gaps remain around explicit ordering and limit semantics, but they are not critical.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has no property descriptions, and the tool description does not mention the `limit` parameter at all. The name and default value provide some hint, but with 0% schema coverage the description should compensate, and it does not.

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?

The description clearly states that the tool returns the most recent project/activity/description combinations for the current user. This is a specific resource and action, and it is conceptually distinct from sibling tools like log_time or list_timesheets, though it does not name them.

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 positions this as the 'best first call' for 'log the usual' or 'same as yesterday' requests, giving clear contextual triggers. It does not, however, mention alternatives or situations where another tool would be preferable.

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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Alpha101Code/kimai-timelog-mcp'

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