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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered. The description adds the API endpoint mapping, which is mildly useful, but says nothing about pagination, result size, or auth requirements for a collection-returning call.

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 front-loaded sentence naming the scope and the fields returned, followed by the endpoint as a compact appendix. No filler, no repetition of the title.

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 compensates by enumerating the returned fields and the endpoint, and the single required parameter is fully documented in the schema. It stops short of stating whether the result set is paginated or bounded, which is the only real gap for a list 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?

There is a single parameter with 100% schema description coverage — the schema already tells the agent it is a project id or slug from localazy_list_projects. The description adds no parameter detail beyond scope ('of a project'), so the baseline 3 for schema-driven parameters 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 the resource precisely ('All glossary terms of a project') and enumerates the returned fields (id, description, translate/case-sensitive/exact-match flags, term per language), plus the underlying endpoint. The word 'All' plus the plural resource implicitly distinguishes it from the singular siblings get_glossary_term and update_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?

Usage is only implied by the tool's nature — an agent can infer 'use this to see the glossary' — but no when-to-use condition, prerequisites, or named alternative (e.g. get_glossary_term for a single term) is given. Adequate but with clear gaps.

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