Clockify MCP Server

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: it stops a timer, auto-detects workspace/user, and implies it targets the 'current' or 'running' timer. However, it lacks details on permissions needed, error conditions (e.g., if no timer is running), or what happens after stopping (e.g., does it log the time?). This is adequate but has gaps for a mutation tool.

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 with just two short sentences that are front-loaded with the core action. Every word earns its place, with no wasted text, making it easy for an AI agent to parse quickly and accurately.

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?

Given the tool has 2 parameters with full schema coverage but no annotations or output schema, the description is minimally complete. It covers the basic action and auto-detection behavior, but for a mutation tool that stops a timer, it lacks details on side effects, success indicators, or error handling. This is adequate but leaves room for improvement in contextual richness.

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 100%, so the schema fully documents the two parameters (workspaceId and end). The description adds no parameter-specific information beyond implying auto-detection relates to workspaceId. Since the schema handles the heavy lifting, a baseline score of 3 is appropriate, as the description doesn't significantly enhance parameter understanding.

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 clearly states the action ('Stop running timer') and the resource ('timer'), making the purpose immediately understandable. It distinguishes from sibling tools like 'stop_timer' by specifying 'current' timer and auto-detection behavior, though it doesn't explicitly contrast with 'stop_timer' which might have different parameter requirements.

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?

The description implies usage context by stating 'Auto-detects workspace/user,' suggesting this tool should be used when the agent wants to stop whatever timer is currently running without specifying workspace/user. However, it doesn't explicitly state when to use this vs. 'stop_timer' or provide clear alternatives or exclusions.

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