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

Annotations already declare readOnlyHint=true, so the description is not burdened with restating safety. It adds useful behavioral details: results are filtered to posts with completed AI analysis, sorted newest first, and presentation should include the url link. There is no contradiction with annotations, and the remaining gaps around response structure are minor for a simple read-only list.

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 two compact sentences with no filler. The first sentence front-loads the core purpose and ordering; the second adds a concrete presentation requirement. Every clause earns its place.

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 listing tool with two optional parameters, the description covers the key selection criterion, ordering, and a user-facing presentation rule. It does not enumerate all return fields, but the url requirement and the schema provide enough for correct invocation. Slightly more detail about what 'completed AI analysis' implies could make it fully complete.

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%, with limit and offset fully documented in the input schema. The description adds no parameter-specific detail beyond the default ordering implied by 'newest first'. Since the schema already carries the parameter semantics, the baseline of 3 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 names a specific verb and resource: list posts that already have a completed AI analysis, ordered newest first. This clearly separates it from siblings like get_post_analysis or list_viral_posts without requiring schema inspection. The tool's name is not merely restated; the filtering and ordering criteria are explicit.

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 provides some usage context by instructing the agent to include each post's url link when presenting posts and references get_post_preview for thumbnails. However, it does not explicitly state when to prefer this tool over other listing tools or when not to use it. Selection guidance is implied rather than directly stated.

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