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

Annotations already declare readOnlyHint=true, so the safety profile is covered; the description adds the underlying endpoint and the response envelope ({ valid, page_stats, data }), which is genuinely useful behavioral context. It stops short of describing pagination semantics, max page size, or whether the list is complete or truncated.

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, front-loaded sentences with zero filler: purpose first, endpoint second, return shape third. Nothing repeats the title or wastes space.

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 compensates by naming the envelope fields, and the schema fully covers inputs. What is missing is pagination guidance (ties to page_stats) and a note on the nested params merge behavior, but for a simple read-only list tool this is close to sufficient.

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% and both parameters are documented in-schema, so the baseline of 3 applies. The description mentions the response's page_stats but says nothing about _page or how the free-form params object is merged with typed params.

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?

States a specific verb and resource ('List glossary terms and definitions') and pins it to the KnowledgeOwl endpoint GET /glossaryterm.json, which unambiguously distinguishes reading terms from create_glossary_term. It does not, however, contrast itself with siblings like list_synonyms or a hypothetical get_glossary_term.

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?

There is no guidance on when to call this versus knowledgeowl_create_glossary_term or other list tools, and no mention of prerequisites or when the result set would be better served by a filtered request. Usage is only implied by the verb 'List'.

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