CloudPulse 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 of behavioral disclosure. It describes the core behavior (fetching from multiple platforms, merging chronologically) but lacks details about authentication requirements, rate limits, error handling, or what the merged output looks like. For a complex multi-platform tool with zero annotation coverage, this leaves significant 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 perfectly front-loaded with the core purpose in the first sentence and usage guidance in the second. Every sentence earns its place with zero wasted words, making it highly efficient and scannable.

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 complex 8-parameter tool with no annotations and no output schema, the description provides adequate purpose and usage context but lacks critical behavioral details about authentication, error handling, and output format. The high parameter count and multi-platform nature suggest more completeness would be beneficial.

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 already documents all 8 parameters thoroughly. The description mentions 'time window and optional trace ID' which aligns with parameters but doesn't add meaningful semantic context beyond what the schema provides. The baseline of 3 is appropriate when the schema does the heavy lifting.

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 specific action ('fetch logs from multiple cloud platforms', 'merge them into a single chronological timeline') and the resource ('logs from AWS CloudWatch + Vercel'). It distinguishes itself from siblings by focusing on cross-platform log correlation rather than resource checking, diagnosis, or topology listing.

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 provides clear context for when to use this tool: 'to correlate errors across frontend and backend services.' However, it doesn't explicitly state when NOT to use it or name specific alternatives among the sibling tools, which would be needed for a score of 5.

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