colacloud-mcp

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 effectively describes what the tool returns ('full record including all label images, extracted barcodes, and AI-enriched fields'), which is valuable context beyond just being a read operation. It doesn't mention rate limits, authentication needs, or error conditions, but provides good behavioral insight for a read-only 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 perfectly structured and concise: purpose statement first, return details second, parameter explanation third, and return summary fourth. Every sentence earns its place with no wasted words, and information is front-loaded appropriately.

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 complexity (retrieving detailed records with images and enriched data), no annotations, and the presence of an output schema, the description provides excellent context. It explains what kind of data is returned, mentions AI-enriched fields, and provides parameter semantics. The output schema will handle return value details, so the description focuses appropriately on usage context.

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 schema has 0% description coverage, so the description must fully compensate. It provides excellent parameter semantics: clearly explains what 'ttb_id' represents (TTB ID), provides context about what TTB stands for, and gives a concrete example format ('23001001000001'). This adds substantial meaning beyond the bare schema.

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 ('Get detailed information') and resource ('a specific COLA by its TTB ID'), distinguishing it from sibling tools like search_colas (which likely returns multiple results) and lookup_barcode (which uses a different identifier). It provides a precise verb+resource combination with clear scope.

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 when to use this tool (when you need detailed information about a specific COLA using its TTB ID) versus alternatives like search_colas (which likely searches multiple records). However, it doesn't explicitly state when NOT to use it or name specific alternatives, keeping it at a 4 rather than a 5.

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