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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds the useful domain of the data (AI-model citations) but says nothing about pagination, ordering, result caps, or auth/workspace scoping, leaving the behavioral picture thin.

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 compact sentence with the resource front-loaded and the optional filter trailing. Efficient, though it is so terse that it omits information rather than earning every clause.

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?

For a simple read-only list tool this is minimally sufficient, and annotations cover the safety profile. However, with no output schema the description should indicate what a returned source URL entry contains and how results are ordered or paginated, and it says neither.

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 limit, domain, and workspaceId are all documented in the schema (including the max 50 cap and the list_workspaces pointer). The description only restates the optional domain filter, adding no syntax or format detail beyond the schema — baseline 3.

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 ("List") and a specific resource ("source URLs cited by AI models") with an explicit scope ("optionally filtered by domain"). It is clear on its own, but it never distinguishes itself from the near-identical sibling list_sources, so the agent must open both schemas to tell them apart.

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 phrase "optionally filtered by domain" implies one usage context but states no when-to-use, when-not-to-use, or alternative. With a sibling named list_sources in the same workspace, the absence of routing guidance is a real gap.

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