cerebrochain-mcp-server

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

With no annotations provided, the description carries the full disclosure burden. It adds critical auth context (API key requirement) but lacks other behavioral details like pagination, rate limits, return format, or whether the hierarchy is returned as nested objects vs. flat list.

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 consists of two efficient sentences with zero waste. The hierarchy detail is front-loaded in the first sentence, and the API key requirement is clearly stated in the second.

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 lack of output schema and annotations, the description partially compensates by mentioning the hierarchical levels (zones, aisles, bins) which hints at return structure. However, it remains silent on actual return format, pagination, or filtering capabilities expected for a data retrieval tool.

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 contains zero parameters. Per scoring rules, 0 parameters establishes a baseline score of 4. The description appropriately does not invent parameter semantics where none exist.

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 'List warehouse storage locations' and specifies the hierarchical components (zones, aisles, bins) that distinguish it from flat inventory searches. However, it does not explicitly differentiate from sibling tools like search_inventory or check_stock_levels which might also involve locations.

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 only states 'Requires API key' as a prerequisite. It provides no guidance on when to use this tool versus alternatives like search_inventory, or under what conditions (e.g., when needing physical layout vs. stock counts).

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