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

With no annotations, the description carries the behavioral burden itself. It clearly indicates this is a read/search operation and lists what is returned (name, category, machine rate, cycle time model) and the fixed database size of 41 processes. It does not detail search semantics like empty-query behavior or matching rules, but for a simple search tool this is reasonable.

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?

One sentence delivers the resource, scope, and return shape with no filler. It is front-loaded and every part adds value.

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?

There is no output schema, so the description's list of returned fields is valuable. All parameters are optional and well-documented in the schema. The main missing contextual detail is what happens when no query or category is provided, but the overall definition is sufficient for an agent to use the tool correctly.

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 all three parameters already have meaningful descriptions in the schema, including examples for query and a full category list. The tool description itself adds no parameter-level meaning beyond the schema, so the baseline of 3 applies.

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 states a specific verb ('Search') and a concrete resource ('the Costable manufacturing process database'), and it names the returned fields. It is easily distinguished from sibling tools like search_materials because the resource is explicitly a process database.

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 makes the intended use clear: find manufacturing processes by querying the process database. It does not explicitly state when to prefer this over search_materials, but the resource distinction gives adequate context. No exclusions or alternative routing are provided.

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