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

The description goes beyond the destructiveHint annotation by explicitly labeling the operation MUTATES, revealing the endpoint, and stating that extra fields are merged over the typed fields. It also tells the agent the tool returns the created glossary term.

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?

Three short sentences contain no filler. The mutation nature, resource, endpoint, fields behavior, and return value are all present and front-loaded.

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?

With no output schema, the description usefully states that the created glossary term is returned. Parameter coverage is complete via the schema, and the destructiveHint annotation covers the write-safety profile. It does not mention error conditions or authorization, but those are not critical for a create operation.

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 coverage is 100%, so the baseline is 3, but the description adds meaningful parameter behavior: 'Pass extra documented fields via fields' and the important caveat that these are 'merged OVER the typed fields above.' This helps an agent understand how fields interacts with term, definition, and project_id.

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 opens with 'MUTATES KnowledgeOwl data: creates a glossary term and definition,' naming a specific action and resource. This clearly separates it from sibling create tools like create_article or create_snippet, and from list_glossary_terms.

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?

Usage is implied by the explicit 'creates a glossary term' phrasing and the MUTATES label, but the description does not state when to prefer this over sibling tools or when not to use it. No alternatives or exclusions are named.

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