ph-civic-data-mcp

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves 'current alert level' but doesn't cover aspects like data freshness (e.g., real-time vs. cached), rate limits, error handling, or authentication needs. For a tool with no annotations, this leaves significant gaps in understanding its operational behavior.

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 a single, clear sentence that efficiently conveys the core functionality without unnecessary words. It's front-loaded with the main purpose, making it easy to parse. There's no redundancy or fluff, earning a top score for conciseness.

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's low complexity (1 optional parameter) and the presence of an output schema (which handles return values), the description is reasonably complete. It covers the basic purpose and scope. However, without annotations and lacking usage guidelines, it falls short of being fully comprehensive for an AI agent, preventing a score of 5.

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?

The input schema has 100% description coverage, with the parameter 'volcano_name' well-documented in the schema (including examples and default behavior). The description doesn't add any semantic details beyond what the schema provides, such as explaining alert level scales or data sources. Given the high schema coverage, a baseline score of 3 is appropriate.

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 tool's purpose: 'Get current alert level for Philippine volcanoes.' It specifies the verb ('Get'), resource ('alert level'), and scope ('Philippine volcanoes'), making it easy to understand. However, it doesn't explicitly differentiate from sibling tools like 'get_weather_alerts' or 'get_earthquake_bulletin', which is why it doesn't score a 5.

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 no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools (e.g., 'get_weather_alerts' for weather-related alerts or 'assess_area_risk' for broader risk assessment) or specify contexts where this tool is preferred. This lack of comparative guidance limits its utility for an AI agent.

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