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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe lookup-only operation. The description adds source and optional-filter context but does not describe behavior beyond that, such as what happens with no matches or whether the default output returns all 39 terms. This is acceptable given the annotations carry the safety contract, so no contradictions or gaps are severe.

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 one long sentence with informative content, but it includes provenance details and an example list that go beyond what is needed for invocation. It is not bloated, but the same core meaning could be conveyed more briefly. It front-loads the glossary resource well but spends words on source and editorial details.

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 only one optional parameter, 100% schema documentation, an output schema, and safety annotations, the description is sufficient for an agent to call the tool correctly. It communicates the resource size, content areas, and keyword filter without omission. It lacks explicit 'when to use' guidance, but that is already penalized in usage_guidelines and does not make the tool under-specified for a single-parameter read-only lookup.

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% and the schema already documents the 'q' parameter precisely (optional keyword filter across term, definition, and category with examples). The description only says 'optional keyword filter' without adding new meaning, so the schema carries the burden. The baseline of 3 is appropriate because the schema already provides the necessary detail.

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 specifies a 39-term glossary with content categories and examples, which clearly identifies the resource and its domain. It lacks an explicit retrieval verb like 'look up' or 'get', but the noun 'glossary' combined with the tool name conveys the intended action. No sibling differentiation is present, but the content is distinct enough from nearby tools such as defi.research_papers.

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 does not state when to use this tool or when not to use it, nor does it mention alternatives like defi.research_papers. It only implied that a glossary is for quick definitions, but there is no explicit guidance or prerequisites. This leaves the agent without clear direction for choosing this tool among many sibling tools.

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